CN104517026B - Methods, systems, and devices for physical contact-initiated display and navigation - Google Patents

Abstract

The present invention provides methods, systems, and devices for providing user interface navigation of screen display metrics of a device. In one example, a device is configured to capture activity data of a user. The device includes a housing and a screen disposed on the housing to display multiple metrics, the multiple metrics including metrics characterizing the activity captured over time. The device further includes a sensor disposed in the housing to capture physical contact on the housing. A processor is included to process the physical contact to determine whether the physical contact qualifies as input. When the physical contact qualifies as input, the processor enables the screen from an off state. The screen is configured to display one or more of the multiple metrics according to a scrolling order, and a first metric is displayed in response to the physical contact qualifying as the input.

Description

Methods, systems, and devices for physical contact-initiated display and navigation

technical field

The present disclosure relates to systems and methods for capturing activity data over a period of time, and methods and systems for navigating metric data to a display.

Background technique

In recent years, the demand for health and fitness has grown significantly. This increase has occurred due to a better understanding of the benefits of good fitness habits for overall physical and mental health. Sadly, while today's modern culture brings with it many new technologies such as the internet, connected devices, and computers, people's activities have become less and less. In addition, many office jobs require people to sit in front of computer screens for long periods of time, which further reduces personal activity levels. Additionally, many of today's entertainment options involve viewing multimedia content, computer social networking, and other types of computer-related interactions. While such computer activity can be extremely productive and entertaining, such activity tends to reduce an individual's overall physical activity.

Fitness trackers are often used to provide health and fitness-conscious users with a way to measure or account for their activity or lack of activity. Fitness trackers are used to measure activities such as walking, exercising, running, sleeping, inactivity, cycling, exercising on an elliptical trainer, etc. Typically, data collected by such fitness trackers may be transmitted to and viewed on a computing device. However, such data is often provided in the form of basic accumulations of activity data with complex or confusing interfaces.

It is against this background that the embodiments described herein arise.

Contents of the invention

Embodiments described in this disclosure provide systems, apparatus, computer-readable media, and methods for analyzing tracked activity data and providing navigation screens and interfaces on devices used by users. The activity tracking device includes sensors for detecting when physical contact occurs on the activity tracking device and logic for providing display actions to a screen of the activity tracking device. In one embodiment, a physical contact may qualify as input when it has a predefined specific characteristic or pattern. When the contact is made by one or more taps, the feature may be, for example, physical contact with the activity tracking device by a user's finger or hand, or an object grasped by the user and used to apply the contact.

In one embodiment, a method is provided. The method includes detecting physical contact by a sensor of the device configured to display a plurality of metrics on a screen of the device, and examining the physical contact to determine whether the physical contact qualifies as an input to the device. The method is for maintaining the screen of the device in an off state for physical contacts that do not qualify as input, and when the check determines that the physical contact qualifies as input, enabling the screen of the device to display the first measure. The method is executed by a processor.

In another embodiment, a device configured to capture activity data of a user is provided. The device includes a housing and a screen positioned on the housing to display a plurality of metrics, including metrics indicative of activity captured over time. The device further includes a sensor disposed in the housing to capture physical contact on the housing. A processor is included to process the physical contact to determine whether the physical contact qualifies as input. When physical contact qualifies as input, the processor enables the screen from the off state. The screen is configured to display one or more of the plurality of metrics according to a scrolling order, and to display a first of the plurality of metrics according to a user configuration that identifies that the first metric will respond to Physical contacts that qualify as input as determined by the monitor are displayed.

In another embodiment, a computer readable medium for storing program instructions executable by a processor is provided. The computer-readable medium includes (a) program instructions for detecting, by a sensor of the device, physical contact configured to cause a plurality of metrics to be displayed on a screen of the device; (b) for examining the physical contact to determine program instructions to determine whether physical contact qualifies as an input to the device; (c) program instructions to maintain the device's screen off for physical contact that does not qualify as an input; (d) program instructions to Program instructions that, when qualified as input, activate the screen of the device to display the first metric, (e) detect user input to switch from the first metric to the next metric in the scrolling sequence or to Program instructions for the off state. If user input is received within a predetermined time after the off state, the process turns on the screen and displays the last displayed metric, and if user input is received after the predetermined time after the off state, the process turns on the screen and displays the first metric. The plurality of metrics includes a time of day metric and a metric representing activity data associated with a user captured by the device, the activity data being about the user.

In some embodiments, the input is associated with a qualifying physical contact, and the user input is associated with one of: a qualifying physical contact, or a non-touch proximity input, or a voice input, or a button press input.

In another embodiment, the activity tracking device is configured to capture user data or activity data. The device includes a housing configured as a wearable wrist-attached structure or as a structure that can accompany a user to capture activity data. The device includes a screen disposed on the housing to display a plurality of metrics, including metrics indicative of activity captured over time. The device has an accelerometer sensor positioned in the housing to capture physical contact on the housing. The device further includes a processor to process the physical contact to determine whether the physical contact qualifies as input. When the physical contact qualifies as input, the processor enables the screen from the off state, and the screen is configured to display one or more of the plurality of metrics according to a scrolling sequence. A first metric of the plurality of metrics is displayed according to a user configuration identifying that the first metric is to be displayed in response to physical contact qualifying as input as determined by the processor. The physical contact captured by the accelerometer sensor results from sensing or detecting one or more taps by a finger or hand or object on the housing with a predefined tap profile. The user configuration to identify the first measure allows setting a shortcut to make any measure in the scrolling order the first measure.

Other aspects will become apparent from the following detailed description, taken in conjunction with the accompanying drawings, illustrating by way of example the principles of the embodiments described in the present disclosure.

Description of drawings

The various embodiments described in the present disclosure are best understood by referring to the following description taken in conjunction with the accompanying drawings.

Figure 1A shows a block diagram of an activity tracking device according to one embodiment of the present invention.

Figure IB shows an example of an activity tracking device according to one embodiment of the invention.

Figure 1C illustrates another example of an activity tracking device according to one embodiment of the present invention.

Figure 2A illustrates an example of an activity tracking device including exemplary components for tracking activity and motion of the device, and associated interfaces of a display screen, according to one embodiment of the present invention.

Figure 2B illustrates an example of an activity tracking device in communication with a remote device according to one embodiment of the invention.

3A shows a diagram of an input interface for accessing a screen displaying metrics associated with an activity tracking device, according to one embodiment of the invention.

Figure 3B shows an example in which an activity tracking device has been programmed or customized by a user to select a particular metric for display on a display screen upon receiving input, according to one embodiment of the present invention.

FIG. 3C shows another example in which the activity tracking device 100 has been programmed or customized by the user to select a different metric as the first metric, according to an embodiment of the present invention.

Figure 3D shows a flowchart defining exemplary interactivity and display functionality of an activity tracking device, according to one embodiment of the present invention.

Figure 3E shows an example of a table showing exemplary scrolling sequences and inputs according to one embodiment of the present invention.

Figure 3F shows an example of a scrolling sequence extending from measure 1 to measure 4 according to one embodiment of the invention.

FIG. 3G shows an example in which metric 3 is designated as the first metric, which is metric data initially displayed when a double-tap input is received.

4A-1 illustrates an example associated with screen navigation of an activity tracking device in a presentation preparation mode, according to an alternative implementation.

4A-2 illustrates an example associated with navigating a screen of an activity tracking device exhibiting a first metric, according to an alternative implementation.

4A-3 illustrate an example associated with screen navigation to an activity tracking device showing the next metric, according to an alternative implementation.

4A-4 illustrate an example associated with navigating a screen of an activity tracking device showing a next metric, according to an alternative implementation.

4A-5 illustrate examples associated with screen navigation to an activity tracking device showing the next metric, according to an alternative implementation.

4A-6 illustrate examples associated with screen navigation to an activity tracking device showing the next metric, according to an alternative implementation.

4A-7 illustrate examples associated with navigating screens showing an activity tracking device without physical contact, according to an alternative implementation.

4A-8 illustrate examples associated with screen navigation of an activity tracking device in a presentation preparation mode, according to an alternative implementation.

Figure 4B shows an example of a system including a device interfaced via the Internet, a remote device and a server according to one embodiment of the present invention.

Figure 5 shows a table providing, in one embodiment, a scrolling sequence and various inputs that can be defined to traverse in the scrolling sequence.

Figure 6 illustrates an example of a physical contact represented by a tap for initiating a display with a first metric, according to one embodiment of the present invention.

Fig. 7 shows another example according to an embodiment of the present invention, wherein a single tap initiates the display with the first measure.

Figure 8 illustrates an example of a double-tap physical contact for initiating a display with a first metric, according to one embodiment of the present invention.

9 illustrates an example of various types of activities that may be captured or collected by an activity tracking device of users 900A-900I according to various embodiments of the invention.

detailed description

Embodiments described in this disclosure provide systems, apparatus, computer-readable media, and methods for analyzing tracked activity data and providing navigation screens and interfaces. Some embodiments relate to providing a navigation interface for an activity tracking device. The activity tracking device includes sensors for detecting when physical contact occurs on the activity tracking device and logic for providing display operations to a screen of the activity tracking device. In one embodiment, a physical contact may qualify as input when it has predefined specific characteristics. When the contact is made by one or more taps, the feature may be, for example, physical contact with the activity tracking device by a user's finger or hand, or an object grasped by the user and used to apply the contact.

In other embodiments, the input may be a non-physical input, such as a proximity sensing input. Proximity sensing input may be handled by infrared proximity sensors, thermal sensors, and the like. Input may also be via buttons, voice input, gaze detection input, input processed in response to motion or motion configuration features, and the like.

It should be noted that there are many inventions described and illustrated herein. The present invention is not limited to any single aspect or embodiment thereof, nor to any combination and/or permutation of such aspects and/or embodiments. Furthermore, each aspect and/or embodiment of the invention may be used alone or in combination with one or more other aspects and/or embodiments of the invention. For the sake of brevity, many of those permutations and combinations will not be individually discussed herein.

Furthermore, in describing and illustrating the present invention, various circuits, architectures, structures, components, functions and/or elements have been set forth, as well as combinations and/or permutations thereof. It is to be understood that circuits, architectures, structures, components, functions and/or elements other than those expressly described and illustrated as well as combinations and/or permutations thereof are contemplated and within the scope of the present invention.

Figure 1A shows a block diagram of an activity tracking device 100 according to one embodiment of the present invention. The activity tracking device 100 is contained in a housing that can be worn or held by a user. The housing may be in the form of a wristband, device clip, wearable device, or may be grasped by the user in the user's hand or held in a pocket or attached to the user's body. The activity tracking device 100 includes device components 102, which may be in the form of logic, storage and glue logic, one or more processors, microelectronics, and interfacing circuits. In one example, component 102 includes processor 106 , memory 108 , wireless transceiver 110 , user interface 114 , biometric sensor 116 , and environmental sensor 118 .

Environmental sensors 118 may be in the form of motion detection sensors. In some embodiments, the motion sensor may be one or more of the following: an accelerometer, or a gyroscope, or a rotary encoder, or a calorie measuring sensor, or a heat measuring sensor, or a humidity measuring sensor, or a displacement sensor, or an ultrasonic sensors, or pedometers, or altimeters, or linear motion sensors, or angular motion sensors, or multi-axis motion sensors or combinations thereof. Biometric sensors 116 may be defined to measure physiological characteristics of a user using activity tracking device 100 . User interface 114 provides a means of communicating with activity tracking device 100 in response to user interaction 104 . User interaction 104 may be in the form of physical contact (eg, without limitation, tap, slide, rub, multi-tap, gesture, etc.).

In some embodiments, user interface 114 is configured to accept user interaction 104 in the form of non-contact input. Contactless input may be via proximity sensors, keys, touch screen input, graphical user interface input, voice input, sound input, and the like. Activity tracking device 100 may communicate with clients and/or servers 112 using wireless transceiver 110 . Wireless transceiver 110 allows activity tracking device 100 to communicate using a wireless connection enabled by wireless communication logic. The wireless communication logic may be in the form of a circuit with wireless communication capability. The wireless communication capability may be in the form of a Wi-Fi connection, a Bluetooth connection, a Bluetooth low energy connection, or any other form of tethering or near field communication. In other embodiments, the activity tracking device 100 may communicate with other computing devices using wired connections (not shown). As mentioned, environmental sensors 118 may detect motion of activity tracking device 100 .

A motion may be a user's activity, such as walking, running, climbing stairs, and the like. Motion may also be in the form of physical contact received on any surface of activity tracking device 110, so long as environmental sensor 118 can detect such motion caused by the physical contact. As explained in more detail below, the physical contact may be in the form of a single tap or multiple taps of a finger on the housing of the activity tracking device 100 .

FIG. 1B shows an example of an activity tracking device 100 having a housing 130 in the form of a wearable wrist-attached device. The sensors of activity tracking device 100 may detect motion exerted and received on surface 120 of housing 130 , such as physical contact, as described above. In the example shown, the physical contact 124 is in the form of a tap or taps on the surface 120 . In one embodiment, device component 102 is contained within housing 130 . The location at which device component 102 is integrated into housing 130 may vary. For example, device part 102 may be integrated at various locations around housing 130 and is not limited to the central portion of the wrist-attached device. In some embodiments, device component 102 may be integrated into or integrated with a smart watch device.

In other embodiments, the device component 102 is located substantially in the center of the wrist-attached device, such as below or near where the display screen 122 is located. In the example shown, housing 130 also includes button 126 . Button 126 may be pressed to activate display screen 122 , to navigate to various metrics displayed on screen 122 , or to turn off screen 122 .

FIG. 1C shows another example of an activity tracking device 100 according to one embodiment of the present invention. The form factor of the activity tracking device 100 is shown as a clickable device comprising a screen 122, buttons 126 and device components 102 integrated in a housing 130'. Housing 130' may include a clip that allows for attachment to a user's clothing or items, or simply placement of the device within a user's pocket or holder. Accordingly, the physical contact 124 shown with respect to FIG. 1B may also be implemented on the surface 120 of the activity tracking device 100 of FIG. 1C . Accordingly, it should be appreciated that the form factor of activity tracking device 100 may take various configurations and should not be limited to the exemplary configurations provided herein.

FIG. 2A shows an example of the activity tracking device 100 of FIG. 1A , showing some additional exemplary components for tracking the activity and motion of the device, and an interface associated with the display screen 122 . In this example, a user's finger can be used to tap and provide physical contact 124 on any surface 120 of the activity tracking device 100 . Physical contact, when sensed by sensor 156 of activity tracking device 100 , will cause activity tracking device 100 to respond and thus provide some measure on display screen 122 . In one embodiment, examples of the display screen 122 may include, but are not limited to, a liquid crystal display (LCD) screen, a light emitting diode (LED) screen, an organic light emitting diode (OLED) screen, a plasma display screen, and the like.

As shown in FIG. 2A , activity tracking device 100 includes logic 158 . Logic 158 may include activity tracking logic 140 , physical contact logic 142 , display interface logic 144 , alarm management logic 146 , wireless communication logic 148 , processor 106 , and sensors 156 . Additionally, storage (eg, memory) 108 and battery 154 may be integrated into activity tracking device 100 . Activity tracking logic 140 may include logic configured to process motion data generated by sensors 156 in order to quantify motion and generate an identifiable measure associated with the motion.

Some sports generate and quantify various types of metrics, such as steps, stairs climbed, distance traveled, minutes of active activity, calories burned, and the like. Physical contact logic 142 may include logic to calculate or determine when a specific physical contact may qualify as input. To qualify as an input, the physical contact detected by the sensor 156 should have a specific pattern recognizable as an input. For example, the input may be predefined as a double-tapping input, and physical contact logic 142 may analyze the motion in response to analyzing sensory data generated by sensor 156 to determine whether a double-tapping did occur.

In other embodiments, the physical contact logic may be programmed to determine when a particular physical contact occurs, the time between physical contacts, and whether one or more physical contacts qualify within a predefined motion profile indicating that an input is required. If a physical contact occurs that is not within some predefined configuration feature or pattern, the physical contact logic does not indicate or qualify the physical contact as an input.

Display interface logic 144 is configured to interface with the processor and physical contact logic to determine when particular metric data is to be displayed on display screen 122 of activity tracking device 100 . Display interface logic 144 is operable to turn on a screen, display metric information, display alphanumeric information, display GUI graphics, or a combination thereof. Alarm management logic 146 is operable to provide a user interface and settings for managing and receiving input from a user for setting alarms. Alarm management logic can interface with a timekeeping module (eg, clock, calendar, time zone, etc.) and can trigger activation of an alarm. The alarm can be in the form of an audible alarm or a non-audible alarm.

Non-audible alerts can provide such alerts via vibration. Vibrations may be generated by motors integrated in the activity tracking device 100 . Vibration can be defined to include various vibration patterns, intensities and custom set patterns. Vibrations generated by one or more motors of activity tracking device 100 may be managed by alarm management logic 146 in conjunction with processing by processor 106 . Wireless communication logic 148 is configured to enable the activity tracking device to communicate with another computing device via wireless signals. Wireless signals may be in the form of radio signals. As mentioned above, the radio signal may be in the form of a Wi-Fi signal, a Bluetooth signal, a Bluetooth low energy signal, or a combination thereof. Wireless communication logic may interface with processor 106, storage 108, and battery 154 of device 100 for communicating activity data stored in storage 108, which may be in the form of athletic data or processed athletic data, to the computing device.

In one embodiment, processor 106 functions in conjunction with various logic components 140 , 142 , 144 , 146 , and 148 . In one embodiment, processor 106 may provide the functionality of any or all of the logic components. In other embodiments, multiple chips may be used to separate the processing performed by any of the logic components and processor 106 . Sensor 156 may communicate with processor 106 and/or logic via a bus. Storage 108 is also in communication with the bus to provide storage for athletic data processed or tracked by activity tracking device 100 . A battery 154 is provided to power the activity tracking device 100 .

FIG. 2B shows an example of an activity tracking device 100 in communication with a remote device 200 . Remote device 200 is a computing device capable of wirelessly communicating with activity tracking device 100 and the Internet 160 . The remote device 200 may support installation and execution of application programs. Such applications may include activity tracking application 202 . Activity tracking application 202 may be downloaded from a server. The server can be a dedicated server or a server that provides applications to devices, such as an application store. Once the activity tracking application 202 is installed in the remote device 200, the remote device 200 can communicate or be configured to communicate with the activity tracking device 100 (device A). Remote device 200 may be a smartphone, handheld computer, tablet computer, laptop computer, desktop computer, or any other computing device capable of wirelessly interfacing with device A and the Internet.

In one embodiment, the remote device 200 communicates with the activity tracking device 100 via a Bluetooth connection. In one embodiment, the Bluetooth connection is a Bluetooth Low Energy connection (eg, Bluetooth LE, BLE, or Bluetooth Smart). Bluetooth Low Energy is configured to provide low power consumption relative to standard Bluetooth circuitry. In one embodiment, Bluetooth Low Energy uses a 2.4 GHz radio frequency, which allows dual-mode devices to share a single radio antenna. In one embodiment, a Bluetooth low energy connection is functional at a distance of up to 50 meters and has a data rate over the radio in the range between 1-3 megabit (Mb)/second. In one embodiment, the proximity distance for communication may be defined by a particular wireless link and is not limited to any particular standard. It should be appreciated that proximity distance limits will change according to changes in existing standards and in view of future standards and/or circuits and capabilities.

Remote device 200 may also communicate with Internet 160 using an Internet connection. The Internet connection of the remote device 200 may include a cellular connection, a wireless connection such as Wi-Fi, and combinations thereof (such as connecting to a switch between different types of connection links). The remote device as described above may be a smartphone or tablet computer, or any other type of computing device that has access to the Internet and the ability to communicate with the activity tracking device 100 .

A server 220 interfacing with the Internet 160 is also provided. Server 220 may include a number of applications that serve activity tracking device 100 and associated users of activity tracking device 100 via user accounts. For example, server 220 may include campaign management application 224 . Activity management application 224 may include logic to provide access to various devices 100 associated with user accounts managed by server 220 . Server 220 may include storage 226 that includes different user profiles associated with different user accounts. User A's user account 228a and user N's user account 228n are shown as including different information.

Information may include, but is not limited to, data associated with display scrolling order 230, user data, and the like. As described in more detail below, the display scrolling sequence 230 includes information about user preferences, settings, and configurations that may be set by the user or set by default at the server 220 when accessing the corresponding user account. Storage 226 will include a number of user profiles, depending on the number of registered users with user accounts with their corresponding activity tracking devices. It should also be noted that a single user account can have various or multiple devices associated with it, and that multiple devices can be independently customized, managed and accessed by the user. In one embodiment, server 220 provides the user with access to view user data 232 associated with the activity tracking device.

The data viewable by the user includes tracked athletic data processed to identify a number of metrics associated with the athletic data. The metrics are displayed in various graphical user interfaces of the website enabled by server 220 . The website may include various pages having a graphical user interface for presenting and displaying various metrics for viewing by a user associated with the user account. In one embodiment, the website may also include an interface that allows data entry and configuration by the user.

Configuration may include defining which metrics are displayed on the activity tracking device 100 . Additionally, configuration may include identifying which metrics will be the first metrics displayed on the activity tracking device. The first metric displayed by the activity tracking device may be in response to user input at the activity tracking device 100 . As mentioned above, user input may be via physical contact. The physical contact is qualified by the processor and/or logic of the activity tracking device 100 to determine whether the physical contact should be processed as input. The input may trigger or cause a display screen of the activity tracking device 100 to turn on to display the particular metric selected by the user as the first metric to be displayed. In another embodiment, the first metric displayed in response to an input may be predefined by the system as a default.

The configuration provided by the user via server 220 and activity management application 224 may also be provided via activity tracking application 202 of computing device 200 . For example, activity tracking application 202 may include multiple screens that also display metrics associated with the captured athletic data of activity tracking device 100 . The activity tracking application 202 may also allow for user input and configuration at various graphical user interface screens to set and define which inputs result in the display of the first measure. In other implementations, in addition to identifying the first metric to display in response to an input, which may be a physical contact, the configuration may allow for sequencing which metrics are to be displayed in a particular scrolling order.

In another embodiment, the scrolling order of the metrics is predefined. In some implementations, input provided by the user via physical contact may be pre-assigned to a particular measure in the scrolling order. For example, the scrolling order can remain the same, and the input can allow the screen to jump to a specific entry in the scrolling order. Jumping to a particular item may be considered a shortcut to the particular item that is intended to be seen first by the user when physical contact or input is provided to device 100 .

3A shows a diagram of an input interface for accessing a screen displaying metrics associated with an activity tracking device 100, according to one embodiment of the invention. As shown, until access to device 100 is requested, display screen 122 is in an off state. In one embodiment, device 100 transitions to an off state when no input is received for a predetermined period of time, allowing device 102 to conserve energy (ie, battery power).

In mode 1, display screen 122 is off 300 and upon button presses (eg, button 126 in FIG. 1B ), display screen 122 changes in direction 303a, in transition 302a, to show the time of day measure. However, if it is determined that the battery level is critical (eg, the battery level is too low to power up the device or operate the device properly for a period of time), then the display screen 122 shows a graph of the battery level 304 . Graphical battery level 304 indicates to the user that the device must be charged. If the battery is determined to be low, a low battery indicator light 306 is shown in the display 122 . The user can continue to use the device, but the critical battery level notification can be displayed again. After showing the low battery light 306 , the display advances to the clock scale 310 after a predetermined period of time (eg, 1 second). If it is determined that the timer function has run, then there is an automatic transition from low battery indication etc. 306 to timer measurement 308 . Therefore, in this embodiment, if the timer function is not running, the system transitions to clock measurement 310 .

In mode 2, if it is determined that the button of the activity tracking device 100 has been pressed and held for a predetermined period of time (eg, 1 second), then transition directly to timer measurement 308 . The timer measure 308 operates the stopwatch function, which first displays the stopwatch graphic and then automatically switches to the time the stopwatch function holds. If the user needs to switch from the timer measure 308 to one of the other measures in the scrolling sequence shown in FIG. 3A , the user can press the button 126 of the activity tracking device 100 . For example, a down arrow indicates that a button press transitions the display screen 122 to the next measurement, and so on. It should be appreciated that the down arrow can also be activated by means other than a button press, such as by physical contact (eg, one or more taps on the surface of the activity tracking device 100). As mentioned above, other input functions such as proximity sensing, touch screen, voice activation, gesture detection, etc. may also be provided.

In mode 3, if it is determined that two taps were detected by the sensor on the surface of the activity tracking device 100, the display screen 122 changes from the on 302 state to displaying the predetermined first metric. In this example, the predetermined first metric is the user's primary goal 330 and the steps metric 312 is shown. As shown, display screen 122 transitions 302b in direction 303a, revealing an icon or graphic associated with primary goal 330 as a step count. The number of steps is displayed as a step icon. In one embodiment, the display screen 122 also transitions from a step icon to a numerical value for steps taken by the user using the activity tracking device 100 . If the user wishes to toggle and view other metrics in the scrolling sequence, such as the distance metric, calories burned metric, floor metric, very active minutes metric, alarm metric, the user can do so by pressing the button 126 on the device 100. Additionally, transitions down (or in any direction within the range of the list) are illustrated by down arrows that are initiated in response to button presses (or other types of input). These exemplary transitions allow for display of other screens/data regarding the metrics 308, 310, 312, 314, 316, 318, 320, 322, etc. FIG. It should be appreciated that additional metrics can be added to the scrolling sequence, certain metrics can be deleted from the scrolling sequence, the scrolling sequence can be reordered, and that these customizations can be made in response to user configuration or system configuration or default configuration.

Display screen 122 transitions to off state 300 after activity tracking device 100 receives no input for a predetermined period of time. In one embodiment, the transition allows the display screen 122 to transition in direction 303b to off 302c. Accordingly, the display screen 122 moves to an off state 300 in which battery consumption is reduced. In one embodiment, the transition to the off state 300 occurs after about 6 seconds. It should be appreciated that this predefined period of time can be modified for a particular configuration and should not be limited to a particular instance. As described below with reference to FIG. 3D , one embodiment allows custom transitions between the off state and a particular metric based on the amount of time that has elapsed for which no user input is determined to have been received.

FIG. 3B shows an example where the activity tracking device 100 has been programmed or customized by the user to select a particular metric for display on the display screen 122 upon receiving input. In this example, configuration is made for Mode 3 functionality. In Mode 3, the user has configured to detect two taps (physical contact) to initiate or jump to a specific measure selected by the user. In this example, user selection of the double-tap input transitions display screen 122 from off state 302 to clock scale 310 . This will jump 332a to clock measure 310 in scrolling order. The clock metric 310 is considered the first metric of the plurality to be displayed on the display screen 122 of the activity tracking device in response to the double tap. Once the device jumps to display clock metrics 310 , the user can then scroll through the remaining metrics by selecting or pressing button 126 of activity tracking device 100 . As mentioned above, switching to other metrics may also be accomplished through additional physical or non-physical contact inputs.

FIG. 3C shows another example where the activity tracking device 100 has been programmed or customized by the user to select a different metric as the first metric. According to mode 3, the first measure is the measure displayed on the display screen 122 after receiving the input. In this example, Mode 3 is the transition from the off state 300 to displaying the first metric in response to two taps. Although two taps are specifically mentioned herein, it should be appreciated that any number of taps may be provided to qualify as physical contact sensed by the sensors of device 100 . Once two taps are received, the display screen of the activity tracking device 100 will jump 332b to the calorie burn metric 316 . The calories burned metric 316 is a metric that the user has configured to be the first metric displayed after receiving two taps when the display is off. It should be understood from this illustration that any of the metrics may be configured as the first metric presented on the display screen 122 after receiving two taps. The user can then switch to the scrolling order of the metric or other metric in the list by providing additional input. The down arrows between the metrics show switching between the various metrics. In one embodiment, after each metric is displayed, the display screen 122 will display a graphical icon that may indicate the type of metric being displayed. A right-facing arrow indicates that the conversion between graphical icons and numerical measures is automatic without additional user input.

FIG. 3D shows a flowchart defining exemplary interactivity and display functionality of the activity tracking device 100, according to one embodiment of the present invention. In one embodiment, at operation 390, the screen is off. At operation 391 , physical contact or input is detected by the activity tracking device 100 . Physical contact or input as defined above may include taps, touches, proximity, button presses, and the like. Once the input is detected in operation 391, the display screen of the device will activate to show the first measure. As noted above, the first metric is configurable by the user to allow selection of which metrics are displayed first upon receipt of input. At operation 393, it is determined whether additional input was received to scroll or move to the next metric.

If additional input is received in operation 394, the display screen scrolls to the next measurement. This process continues when the user is allowed to select the next metric in the list or scrolling sequence. In one embodiment, the scrolling sequence can wrap around and continue to display metrics. If no input is received for a period of time, then in operation 395 the display screen is turned off. At operation 396, it is determined whether an input was received within a predetermined amount of time after the screen was turned off. For example, if an input such as a button press is received within 3 seconds of the screen being off, the screen turns back on and displays the last measurement that was displayed.

For example, in FIG. 3A, if the last metric viewed was calories burned 316, and no input was received, the screen closes. If a button press is detected within 3 seconds of the screen being off, then in operation 397 the calorie burn metric 316 is again displayed. The method then continues back to operation 394 where it is determined whether additional input was received to switch to viewing the next metric 393 . If, in operation 396 , no input has been received after a predetermined amount of time since the screen was turned off, then the method transitions to operation 398 . In operation 398, it is determined that the input has occurred after the predetermined amount of time the screen has been turned off, and the method returns to start the screen and present the first metric. The input received in operation 398 may be a button press or a physical contact, such as an input received via Mode 1 or Mode 3 . If no input is received after the predetermined amount of time that the screen is off, then the screen transitions back or remains off 390 .

FIG. 3E shows an example of a table 350 showing exemplary scrolling orders 352 and inputs 354 . In this example, the scrolling sequence includes screen off 300 , clock metric 310 , distance metric 314 , calories burned metric 316 , floor metric 318 , very active minutes metric 320 , alarm metric 322 . In this example, the screen remains off when no physical contact is received that would qualify as input. This of course also includes not receiving button presses, so that the screen remains off. In this example, a double tap (DT) of physical contact 124 will initiate display screen 122 with a first metric identified by the user as clock metric 310 . The user may then transition through various button presses 126a to transition to various measures in the scrolling sequence after each button press is received. As mentioned above, instead of a button press, other inputs could be used to switch between measurements.

FIG. 3F shows an example of a scrolling sequence 380 extending from measure 1 to measure 4 . In this example, the first metric is identified as Metric 1 . Additionally, the two-tap input is predefined as Accessible Metric 1 , which is the initially displayed metric on the activity tracking device. FIG. 3G shows an example where metric 3 is designated as the first metric, which is the metric data initially displayed when the double-tap input 124 is received. Customizing the first metric to be any metric in the scrolling order may function to jump 332 to the particular metric identified by the user. The particular metric identified as the first metric can also be predefined or set as default by the system. As used herein, jump shall mean a shortcut that also includes going to a particular metric in the list.

4A-1 through 4A-8 illustrate examples associated with navigation screens of activity tracking device 100, according to alternative implementations. In this example, the device 100 has the screen 122 in an off state. In Figure 4A-1, the screen is off, which may indicate that the device is in a ready mode and ready to receive input. In FIG. 4A-2, the device receives physical contact 124, which may be two taps. Physical contact 24 activates display screen 122 and displays the first metric. In this example, the first metric is the time of day. In Figures 4A-3, an additional physical contact is received by device 100, causing display screen 122 to show the next metric, which in this example is the number of steps. In Figures 4A-4, device 100 receives another double tap 124, which then causes display screen 122 to show the next metric. This next metric is step count. In Figures 4A-5, the device receives another physical contact 124, causing the device to show the next measurement. The next measure is calories burned. In Figures 4A-6, the device receives another physical contact 124, causing the display screen 122 to reveal the next measurement. The next metric is distance. In FIGS. 4A-7 , it is determined that physical contact has not occurred for a predetermined period of time 402 . As shown in Figures 4A-8, this will cause the device 100 to transition to screen off, and back to standby mode.

FIG. 4B shows an example of a system comprising a device 100 , a remote device 200 and a server 220 interfaced via the Internet 160 . Docking allows the remote device 200 to set a specific configuration of the scrolling order settings of the device 100 according to the user configuration. In this example, using the remote device 200, the user navigates to a screen provided by an application 202 of the remote device. Application 202 is an activity tracking application that can communicate with an activity monsoon application 224 managed by server 220 . As discussed above with reference to FIG. 2B , activity tracking application 202 may include a number of user interfaces and screens to allow a user to input and access activity data or configuration settings.

In this example, the configured settings include settings associated with the definition of a scrolling order and a first metric. In this example, activity tracking application 202 allows a user to log into his or her user account and access and identify device a, which is activity tracking device 100 . By using the screens and menus provided by the activity tracking application, the user can recognize the display scrolling order setting in the screen 200 a of the device 100 . In this example, the user decides to set the home screen metric (eg, the first metric) to be time or clock. Optionally, the user may then select a scrolling order of various screens or GUIs (eg, screens 200a-200h) to traverse. In this example, the user has chosen to follow the steps metric, then the step metric, then the calories burned metric, then the distance metric. The user may also be prompted or the user may choose to edit, remove or add additional metrics to the scrolling order settings. Once the user approves the settings, the user can save the settings to the user profile. Saving the settings to the user profile may be used to update the settings of the user display scroll order configuration 230 in the user account (User A). This configuration setting is synchronized with the server 220 and then transmitted to the device 100 within a predefined proximity distance 404 via the wireless connection. As mentioned above, in one embodiment, communication between device 100 and remote device 200 (computing device) is via a wireless link. The wireless link may be, for example, Bluetooth cordless communication, and in one embodiment, Bluetooth low energy cordless communication.

FIG. 5 shows a table that provides a scrolling order 352 and various inputs 354 that can be defined to traverse in the scrolling order, in one embodiment. In this embodiment, the screen is off 300 and ready for use. When the screen is off, the device is powered on and operating, but the energy powering the screen does not consume battery power. In this state, no physical contact is received for a period of time. When two taps are received, the configuration will allow the screen to transition to the first measure, which is the time of day. As mentioned above, the first metric can be defined as any metric in the scrolling order. Additionally, the scrolling order can remain in the same order, however the first measure can be identified as any measure in the scrolling order, and access to a particular measure can be achieved via a jump or shortcut. In another embodiment, the scrolling order configurations are reorderable. In this example, switching from a measure to the next is achieved via a double tap (DT) physical contact. However, as mentioned above, switching between metrics can be accomplished via a variety of inputs, such as physical and non-physical interfaces, voice communication, proximity communication, button presses, and the like.

FIG. 6 shows an example of physical contact 124 represented by a tap used to initiate display 602 at a first metric. The next input may be an extra tap or another suitable input 604 for transitioning to the next measure 606 .

FIG. 7 shows another example where a single tap 124 initiates display 602 at the first metric. In this example, the first measure 1.0 is time. If within a period of time, two taps are received 610, then the sub-data metric 1.1 may be displayed. The sub-data metrics may be additional metrics that further describe or provide additional information related to the first metric. For example, sub-data metric 1.1 may be date. Another double tap 612 may provide sub-measure 1.2, which may be a calendar. Another double tap 614 may provide another sub-measure 1.3, which may be a sunrise measure. A single tap 616 may then provide a next metric 2.0, which defines metric data 617 associated with the next metric. Thus, it should be appreciated that a particular metric may have additional information (eg, multiple levels of information or formats) related to that same metric, and that this additional information may be provided by an additional screen display of metric data related to one of said metrics.

FIG. 8 shows an example of a double-tap physical contact 124 for initiating a display 602 with a first metric of 1.0. Then, a single tap 620 can reveal or present subdata 1.1, a single tap 622 can present subdata 1.2, and a single tap 624 can present subdata 1.3. Similar to FIG. 7 , additional data/information about certain metrics is provided. However, in FIG. 8, transitions between sub-data screens are via a single tap, not two taps. Thus, double tapping 626 may then reveal the next measure 627, shown as measure 2.0. Metric 2.0 may also have subdata (not shown). Then, another double tap 626 may reveal the next measure 630, shown as measure 3.0. Each of the various metrics organized in a scrolling order may have sub-data associated therewith, configuration-specific sub-data if desired. These examples are provided to show that physical touch inputs can be configured and quantified to define specific inputs for traversing specific display screens, or selecting specific metrics to display in specific screen displays.

In some embodiments, an apparatus is provided. Devices are defined in terms of wearable wrist attachment structures. In one embodiment, the device has a housing constructed or formed at least in part from a plastic material. In one embodiment, the housing of the device includes an altimeter. Definitions may further include instantaneously visible displays, or dead front displays, touch screen displays, monochrome displays, digital displays, color displays, or combinations thereof. In another embodiment, a device may include one or more accelerometers. In one particular example, a device may include a 3-axis accelerometer. In another embodiment, the 3-axis accelerometers may be replaced or duplicated by using separate accelerometers (eg, 3 accelerometers) positioned orthogonal to each other.

FIG. 9 illustrates an example in which various types of activities of users 900A-900I may be captured by activity tracking device 100, according to one embodiment of the invention. As shown, various types of activities can generate different types of data that can be captured by activity tracking device 100 . Data, which may be represented as athletic data (or processed athletic data), may be transmitted 920 to network 176 for processing and storage by a server, as described above. In one embodiment, the activity tracking device 100 can communicate with the device using a wireless connection, and the device can communicate and synchronize the captured data to an application running on a server. In one embodiment, an application running on a local device such as a smartphone or tablet or a smart watch can capture or receive data from the activity tracking device 100 and represent the tracked athletic data in multiple metrics.

In one embodiment, a device collects one or more types of physiological and/or environmental data from embedded sensors and/or external devices, and communicates or relays such metric information to other devices, including devices capable of serving as A device that is an Internet-accessible data source, thereby allowing the collected data to be viewed, for example, using a web browser or web-based application. For example, when a user wears an activity tracking device, the device may use one or more sensors to count and store the user's step count. The device then transmits data representing the user's steps to an account on a web service, computer, mobile phone or health kiosk where the data can be stored, processed and observed by the user. In fact, the device may measure or calculate a number of other physiological metrics in addition to, or instead of, the user's step count.

Some physiological measures include, but are not limited to, energy expenditure (e.g., calories burned), floors climbed and/or walked down, heart rate, heart rate variability, heart rate recovery, position and/or orientation (e.g., via GPS), altitude, walking speed and/or distance traveled, laps swam, bike distance and/or speed, blood pressure, blood glucose, skin conductance, skin and/or body temperature, EMG, EEG, body weight, body fat, calorie intake, intake from food Nutrient intake, medication intake, sleep period (i.e., clock time), sleep stage, sleep quality and/or duration, pH level, hydration level, and respiration rate. The device may also measure or calculate metrics related to the user's surroundings, such as air pressure, weather conditions (e.g., temperature, humidity, pollen count, air quality, rain/snow conditions, wind speed), light exposure (e.g., ambient light, UV light exposure, time and/or duration spent in the dark), noise exposure, radiation exposure, and magnetic fields.

Still further, other metrics may include, but are not limited to, calories burned by the user, weight gain by the user, weight loss by the user, steps climbed by the user, such as climbs, steps walked down by the user, steps taken by the user during a walk or run. Step count, number of rotations of bicycle pedals rotated by the user, sedentary activity data, driving a vehicle, number of golf club swings by the user, number of forehands while the user is exercising, number of backhands while the user is exercising, or a combination thereof. In some embodiments, sedentary activity data is referred to herein as inactive activity data or passive activity data. In some embodiments, a user is active when the user is not sedentary and not asleep. In some embodiments, a user may stand on a monitoring device that determines physiological parameters of the user. For example, a user stands on a scale that measures the user's weight, body fat percentage, biomass index, or a combination thereof.

Additionally, a device or system collating a data stream may calculate metrics derived from this data. For example, a device or system may calculate a user's stress and/or relaxation level via a combination of heart rate variability, skin conduction, noise pollution, and sleep quality. In another example, a device or system may determine the efficacy of a medical intervention (eg, medication) via a combination of medication intake, sleep, and/or activity data. In another example, a device or system may determine the efficacy of an allergy medication via a combination of pollen data, medication intake, sleep, and/or activity data. These examples are provided for illustration only and are not intended to be limiting or exhaustive.

This information can be associated with user accounts that can be managed by an activity management application on the server. Event management applications may provide access to user accounts and data stored on them. The campaign management application running on the server may be in the form of a web application. The web application may provide access to multiple website screens and pages showing information about metrics in various formats. This information can be viewed by the user and synchronized with the user's computing device, such as a smartphone.

In one embodiment, the data captured by the activity tracking device 100 is received by the computing device, and the data is synchronized with an activity measurement application on the server. In this example, data viewable on a computing device (eg, smartphone) using an activity tracking application (app) can be synchronized with data residing on the server and associated with a user account. In this way, information entered into the activity tracking application on the computing device can be synchronized with the application shown in different screens of the activity management application provided by the server on the website.

Accordingly, a user may use any device with Internet access to access data associated with a user account. Data received by the network 176 can then be synchronized with the user's various devices, and analysis on the server can provide analysis of the data to provide recommendations for additional activity and or improved physical fitness. Thus, the process continues as data is captured, analyzed, synchronized, and recommendations generated. In some embodiments, the data captured can be itemized and segmented based on the type of activity performed, and such information can be accessed via a graphical user interface, or via an application executing on the user's smartphone (via a graphical user interface) to provide to users on the site.

In one embodiment, one or more sensors of device 100 may determine or capture data to determine the amount of movement of the monitoring device over a period of time. Sensors may include, for example, accelerometers, magnetometers, gyroscopes, or combinations thereof. Broadly speaking, these sensors are inertial sensors that capture some motion data in response to movement of device 100 . An amount of motion (eg, sensed motion) may occur when a user performs an activity of climbing stairs, walking, running, etc. for a period of time. The monitoring device may be worn on the wrist, carried by the user, worn on clothing (using a clip, or placed in a pocket), attached to the leg or foot, attached to the user's chest, waist, or integrated into an article of clothing, such as an integrated In shirts, hats, pants, shirts, glasses, etc. These examples are not limiting of all possible ways in which a device's sensors can be associated with a monitored user or thing.

In other embodiments, biosensors may determine a number of physiological characteristics of the user. As another example, biosensors may determine a user's heart rate, hydration level, body fat, bone density, fingerprint data, sweat rate, and/or bioimpedance. Examples of biosensors include, but are not limited to, biometric sensors, physiological parameter sensors, pedometers, or combinations thereof.

In some embodiments, data associated with user activity can be monitored by servers and applications on the user's device, and activity associated with the user's friends, acquaintances, or social network peers can also be shared based on user authorization. This enables friends to compete about their fitness, achieve goals, receive medals for achieving goals, get reminders for achieving such goals, rewards or discounts for achieving certain goals, etc.

As mentioned, the activity tracking device 100 may communicate with a computing device (eg, a smartphone, tablet computer, desktop computer, or computer device with wireless communication access and/or Internet access). In turn, computing devices may communicate via a network such as the Internet or an intranet to provide data synchronization. The network can be a wide area network, a local area network, or a combination thereof. A network can be connected to one or more servers, one or more virtual machines, or a combination thereof. A server, virtual machine, controller of a monitoring device, or controller of a computing device is sometimes referred to herein as a computing resource. Examples of controllers include processors and storage devices.

In one embodiment, the processor may be a general purpose processor. In another embodiment, the processor may be a custom processor configured to run specific algorithms or operations. Such processors may include digital signal processors (DSPs) designed to execute or interact with specific chips, signals, wires, and to perform certain algorithms, procedures, state diagrams, feedback, detection, execution, and the like. In some embodiments, a processor may include or interface with an Application Specific Integrated Circuit (ASIC), Programmable Logic Device (PLD), Central Processing Unit (CPU), a combination thereof, or the like.

In some embodiments, one or more chips, modules, devices, or logic may be defined to execute instructions or logic, which may collectively be considered or described as a processor. Thus, it should be understood that a processor is not necessarily a single chip or module, but may be defined by a collection of electronic or connected components, logic, firmware, code, and combinations thereof.

Examples of storage devices include random access memory (RAM) and read only memory (ROM). The storage devices may be flash memory, redundant array of disks (RAID), hard disks, or combinations thereof.

Embodiments described in this disclosure may be practiced with various computer system configurations, including handheld devices, microprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers and analogs. Some embodiments described in this disclosure can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a wired or wireless network.

With the above embodiments in mind, it should be appreciated that many of the embodiments described in this disclosure may employ various computer-implemented operations involving data stored in computer systems. These operations are those requiring physical manipulations of physical quantities. Any of the operations described in this disclosure are useful machine operations that form part of the various embodiments described in this disclosure. Several embodiments described in this disclosure also relate to apparatus or apparatus for performing these operations. An apparatus may be specially constructed for a certain purpose, or an apparatus may be a computer selectively enabled or configured by a computer program stored in the computer. In particular, various machines may be used with computer programs written in accordance with the teachings herein, or it may be more convenient to construct more specialized apparatus to perform the required operations.

Various embodiments described in this disclosure can also be embodied as computer readable code on a non-transitory computer readable medium. The computer readable medium is any data storage device that can store data, which can be thereafter read by a computer system. Examples of computer readable media include hard drives, network attached storage (NAS), ROM, RAM, compact ROM (CD-ROM), CD-recordable (CD-R), CD-rewritable (RW), magnetic tape, and other Optical and non-optical data storage devices. The computer readable medium may comprise computer readable tangible media that is distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

Although method operations are described in a particular order, it should be understood that other housekeeping operations may be performed between the various operations, or that operations may be performed in an order other than shown, or that operations may be adjusted so that they occur at slightly different times. occur, or may be distributed in a system that allows processing operations to occur at different intervals associated with the processing.

While the foregoing embodiments have been described in some detail for purposes of clarity of understanding, it will be evident that certain changes and modifications may be made within the scope of the appended claims. Accordingly, embodiments of the present invention are to be regarded as illustrative and not restrictive, and the various embodiments described in this disclosure are not limited to the details given herein, but may be found within the scope and equivalents of the appended claims. be modified within.

Claims (26)

1. A method comprising, Physical contact detected by a motion sensor of the device while the screen of the device is in an off state, wherein the device is configured to cause a plurality of metrics to be displayed on the screen of the device, the physical contact for including the surface of the housing of the device of the motion sensor, which is additionally used to detect activity data; Examining the physical contact to determine whether the physical contact qualifies as an input to the device, wherein the input is indicative of the input based on a motion profile detected by the motion sensor in response to the physical contact. determining the physical contact as qualifying as the input within a configuration feature, wherein determining the physical contact as not qualifying as the input based on the motion configuration feature being outside of the predefined configuration feature; activating the screen of the device to display a first measure based on a determination that the physical contact qualifies as the input; wherein said physical contact qualifying as said input causes display to jump to said first measure and activation of a screen of said device occurs without requiring additional user input, wherein said method is performed by a processor. 2. The method of claim 1, wherein the first metric is configurable as a selected metric of the plurality of metrics arranged in a scrolling order. 3. The method of claim 1, further comprising, transitioning from the first metric to the next metric in the scrolling sequence in response to detecting a first user input; transition to the off state; and in response to detecting a second user input, turning on the screen; and displaying the next metric or one of the first metric such that the next metric is displayed based on detecting the second user input within a predetermined period of time after transitioning to the off state and based on the detection of the next metric after transitioning to the off state. The second user input is detected after a predetermined time to display the first metric. 4. The method of claim 1 , wherein the plurality of metrics includes a time-of-day metric and a metric representing activity data captured by the device while associated with a user, the activity data being about the user . 5. The method of claim 1, wherein the plurality of metrics are configured in a rolling order, and the method further comprises, transitioning in said scrolling sequence on said screen of said device in response to one or more user inputs after said first measure; wherein in response to said physical contact qualifying as said input, a shortcut transition back to said first measure for display on said screen of said device is made. 6. The method of claim 1, further comprising, transitioning the screen to an off state in the absence of user input to the device; launching said screen in response to another physical contact qualifying as said input; and In response to the input, the first metric is displayed on the screen. 7. The method of claim 1 , wherein (a) the first metric is a temporal metric and the remaining ones of the plurality of metrics define the user's metric captured by the device over time. The activity data, or (b) said first measure is a measure other than a time measure. 8. The method of claim 7, wherein the plurality of metrics are configured in a scrolling order such that each metric is sequentially displayed in the displayed on the screen. 9. The method of claim 1, wherein the physical contact comprises a tap contact identified by the motion sensor of the device, the motion sensor producing motion data that is checked to qualify as the input. 10. The method of claim 1, wherein said physical contact qualifying as said input is one tap, or two taps, or a set of taps, or a pattern of taps, or within a predetermined frequency Repeat multiple taps. 11. The method of claim 1, wherein the plurality of metrics are defined by one or more of: time of day data, timer data, alarm data, measurement data by the user, and by the User activity data tracked or captured by the device. 12. The method of claim 1, wherein a scrolling order of the plurality of metrics is user configurable. 13. The method of claim 12 , wherein additional metrics are user configurable to be added to the plurality of metrics or existing metrics in the plurality of metrics are user configurable to be removed from the plurality of metrics, And wherein the position of each metric in the scrolling order is user configurable. 14. A device configured to capture activity data of a user comprising, shell; a screen disposed on the housing to display a plurality of metrics including metrics representative of the activity data captured over time; a motion sensor disposed in the housing to capture physical contact on a surface of the housing and capture the activity data; and a processor for processing the physical contact to determine whether the physical contact qualifies as an input, wherein the processor is configured to configure a feature based on motion detected by the motion sensor in response to the physical contact Determining that the physical contact qualifies as the input within a predefined configuration feature indicative of the input, and determining that the physical contact does not qualify as the input based on the motion profile being outside of the predefined configuration feature said input, wherein as the motion sensor is used to capture both the physical contact and the activity data, the motion profile associates the motion profile with the activity captured by the sensor within the predefined profile data, the processor is configured to enable the screen in response to a determination that the physical contact qualifies as the input, the physical contact qualifies as the input without requiring additional user input, The screen is configured to display one or more of the plurality of measures according to a scrolling order, a first measure of the plurality of measures being displayed according to a user configuration identifying that the first measure is to be displayed in response to The physical contact by the processor qualifies for display as a determination of the input. 15. The device of claim 14, wherein the housing is part of a wearable wrist-attachable structure, or part of an attachable structure that can be carried or worn by the user. 16. The device of claim 14, wherein the physical contact captured by the motion sensor is one or more taps of a finger or hand on the housing. 17. The apparatus of claim 14, wherein one of the plurality of measures is a time of day measure. 18. The apparatus of claim 17, wherein said first measure is any one of said time of day measure, or said measures in said scrolling sequence. 19. The device of claim 14, wherein the user configuration identifying the first metric enables jumping to define any metric in the scrolling order as the first metric. 20. The apparatus of claim 14, wherein each measure in the scrolling order is user configurable, and measures are configured to be added to or removed from a list of measures in the scrolling order. 21. The device of claim 14, wherein the housing includes a button. 22. The device of claim 14, further comprising one or both of an altimeter and an accelerometer. 23. The device of claim 14, wherein the housing further comprises memory for storing the activity data, captured data, and wireless communication logic. 24. The device of claim 23, wherein the wireless communication logic comprises one of: WiFi processing logic, or Bluetooth (BT) processing logic, or radio processing logic. 25. The device of claim 24, wherein the wireless communication logic is configured to pair with a portable computing device or computer, and the portable computing device or the computer is configured to communicate with a server via the Internet, the The server has (i) processing instructions for configuring the first metric accessed through the input and each metric in the scrolling order, and (ii) for adding metrics to the list of metrics and A processing instruction to remove from the list of metrics. 26. An activity tracking device configured to capture activity data of a user comprising, a housing configured as a wearable wrist-attachable structure; a screen disposed on the housing to display a plurality of metrics including metrics representative of the activity data captured over time; an accelerometer sensor disposed in the housing to capture physical contact on a surface of the housing and capture activity data; and a processor that processes the physical contact to determine whether the physical contact qualifies as an input, wherein the processor is configured to configure a feature based on motion detected by the accelerometer sensor in response to the physical contact in Determining that the physical contact qualifies as the input may indicate that the input is within a predefined configuration feature, and determining that the physical contact does not qualify as the input based on the motion profile being outside of the predefined configuration feature. enter, Wherein with the accelerometer sensor being used to capture both the physical contact and the activity data, the motion profile distinguishes the physical contact from the activity data within the predefined profile, The processor is configured to enable the screen in response to a determination that the physical contact qualifies as the input, the physical contact qualifies as the input without requiring additional user input, the screen is configured to One or more of the plurality of metrics are displayed according to a scrolling order, a first metric of the plurality of metrics is displayed according to a user configuration that identifies that the first metric is to be responded to by the processor said physical contact made is eligible to be displayed as a determination of said input, wherein said physical contact captured by said accelerometer sensor results from sensing or detecting one or more taps by a finger or hand or object against a surface of said housing producing a predefined configuration feature, wherein said first measure is identified The user configuration of enables setting a shortcut that makes any measure in the scrolling order the first measure.