JP5729538B2 - Operation analysis device - Google Patents

Description

  The present invention relates to a driving analysis apparatus for a bicycle, for example.

  When using a bicycle as a sport such as road racing or mountain bike racing, it is important how fast it can be driven with less fatigue. In general, you can continue to run faster and longer as you become more advanced, because you are driving lean and strengthening your leg power. In order to realize such a lean driving, information capable of objectively judging own driving skill and fatigue level is required.

  Conventionally equipped with various sensors such as speed sensor, cadence sensor, heart rate sensor, etc., it has been multifunctionalized to measure and display bicycle speed, mileage, total distance, running time, cadence, heartbeat, calorie consumption, etc. Cycle computers are known and used for training.

JP 2005-324709 A JP 2009-67327 A

  However, although information such as speed and mileage can be obtained with an existing cycle computer, it is difficult to obtain information that allows objective judgment of driving skills. In addition, the existing cycle computer requires information on heart rate and calorie consumption in order to judge the degree of fatigue, and it must be equipped with a dedicated sensor for that, making it more complicated. .

  The present invention has been made in view of the above problems, and according to some aspects of the present invention, there is provided a driving analysis apparatus capable of displaying various driving analysis information with a simpler configuration than the conventional one. Can be provided.

  (1) The present invention includes a sensor unit attached to at least one of a bicycle and a user of the bicycle, and a display unit. The sensor unit includes an acceleration sensor, an angular velocity sensor, the acceleration sensor, and the A transmitter that transmits output data of the angular velocity sensor to the display unit, the display unit based on the output data, a display unit, a receiver that receives the output data from the sensor unit, and It is a driving | running analysis apparatus containing the driving | running analysis information generation part which produces | generates driving | running analysis information, and the display control part which displays the said driving | running analysis information on the said display part.

  The driving analysis information is arbitrary information for analyzing the driving of the bicycle, and may be data obtained from the sensor unit or information obtained by performing simple processing such as integration processing on the data itself, The data and information may be processed to make the information easier to understand for the user, such as the level of driving skills.

  According to the present invention, by using a sensor unit including an acceleration sensor and an angular velocity sensor, information on acceleration, angular velocity, and attitude angle in any direction necessary for generating driving analysis information regardless of the mounting position of the sensor unit. Can be obtained. That is, the sensor portion can be attached at a position where the attachment position of the sensor portion is high and easy to attach according to the shape of the bicycle. Conversely, more accurate driving analysis information can be generated by selecting the most appropriate position and orientation according to the type of driving analysis information to be displayed and attaching the sensor unit. Therefore, it is possible to realize an easy-to-use driving analysis apparatus that can display various driving analysis information while having a simpler configuration than the conventional one.

  (2) In this driving analysis apparatus, at least one of the acceleration sensor and the angular velocity sensor may include a plurality of detection axes.

  (3) In the driving analysis device, the driving analysis information generation unit calculates a movement amount of at least one of the roll direction and the yaw direction of the bicycle based on the output data, and the movement amount is calculated as the driving analysis information. You may make it do.

  By displaying the amount of movement in the roll direction (the amount of change in the roll angle) as the driving analysis information, the user can know the degree of roll. Further, by displaying the amount of movement in the yaw direction (the amount of change in yaw angle) as the driving analysis information, the user can know the degree of fluctuation. Therefore, according to the driving analysis apparatus, the user can determine his / her driving skill and fatigue level by knowing the degree of rolling or wobbling.

  (4) In the driving analysis apparatus, the driving analysis information generation unit may determine the driving skill level of the user based on the amount of movement, and the determined driving skill level may be used as the driving analysis information. Good.

  In this way, the user can know the objective evaluation of his / her driving skill level.

  (5) In this driving analysis device, the driving analysis information generating unit determines the fatigue level of the user based on a temporal change in the amount of movement, and uses the determined fatigue level as the driving analysis information. Also good.

  In this way, the user can know the objective evaluation of his / her fatigue level.

  (6) In this driving analysis device, the sensor unit may be attached to a top tube of the bicycle.

  In this way, it is possible to capture the rolling and wobbling of the bicycle, so that it is possible to provide driving analysis information that is a material for determining driving skill and fatigue level.

  (7) In this driving analysis apparatus, the first analysis unit includes at least two sensor units, the first sensor unit is attached to a frame of the bicycle, and the second sensor unit is attached to a crank of the bicycle. The driving analysis information generation unit calculates a road inclination angle and a bicycle speed based on the data received from the first sensor unit, and based on the data received from the second sensor unit, A rotation speed is calculated, a gear ratio is calculated based on the speed and the rotation speed, and at least one information of the inclination angle, the speed, the rotation speed, and the gear ratio is generated as the operation analysis information. You may do it.

  In this way, the user can know, for example, the relationship between the road inclination angle and the traveling speed, the relationship between the road inclination angle and the crank rotation speed, and the relationship between the road inclination angle and the gear ratio. For example, it is possible to determine the degree of the leg strength of the self.

  (8) In the driving analysis device, the display unit further includes a storage unit that stores the driving analysis information, and the display control unit reads a history of the driving analysis information from the storage unit and displays the display unit. You may make it display on.

  In this way, since the user can know the time change of the driving analysis information, for example, the user's degree of fatigue can be objectively determined.

  In addition, for example, the display unit further includes a nonvolatile information recording unit that records the driving analysis information, and the display control unit records in the information recording unit in the past based on an operation of the user. The driving analysis information may be displayed on the display unit.

  In this way, the user can compare the current driving information with the past driving analysis information, so that, for example, the user's driving skill and the improvement in leg strength can be known.

The figure which shows the structural example of the driving | running analysis apparatus of this embodiment. The figure which shows the 1st example of the attachment position of a sensor part. The figure which shows an example of the graph of the time change of a roll angle. The figure which shows an example of the graph of the time change of a roll angle. The figure which shows the 2nd example of the attachment position of a sensor part. FIG. 6A is a diagram illustrating an example of a graph of time variation of the roll angle, and FIG. 6B is a diagram of an example of a graph of time variation of the yaw angle. FIG. 6A is a diagram illustrating an example of a graph of time variation of the roll angle, and FIG. 6B is a diagram of an example of a graph of time variation of the yaw angle. The figure which shows the 3rd example of the attachment position of a sensor part. The figure which shows an example of the graph data showing the correspondence of an inclination angle, traveling speed, rotation speed, and gear ratio. The figure which shows the 4th example of the attachment position of a sensor part. The figure which shows an example of the screen displayed on the display part of a display part. The figure which shows an example of the screen displayed on the display part of a display part. The figure which shows an example of the screen displayed on the display part of a display part.

  DESCRIPTION OF EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. The embodiments described below do not unduly limit the contents of the present invention described in the claims. Also, not all of the configurations described below are essential constituent requirements of the present invention.

[Configuration of operation analysis device]
FIG. 1 is a diagram illustrating a configuration example of an operation analysis apparatus according to the present embodiment.

  The driving analysis apparatus 1 according to the present embodiment includes a sensor unit 10 and a display unit 20.

  The sensor unit 10 includes three angular velocity sensors (gyro sensors) 100x, 100y, and 100z that detect angular velocities in three axis directions (x axis, y axis, and z axis), and three axes (x axis, y axis, and z axis). It includes three acceleration sensors 110x, 110y, and 110z that detect the acceleration in each direction, a filter amplifier 120, an A / D converter 130, and a communication interface (I / F) 140. The output signals (angular velocity data) of the triaxial angular velocity sensors 100x, 100y, and 100z and the output signals (acceleration data) of the triaxial acceleration sensors 110x, 110y, and 110z are subjected to noise removal and amplification processing by a filter amplifier. Digitized by the A / D converter 130 and wirelessly transmitted to the display unit 20 via the communication I / F 140.

  The sensor unit 10 may be attached to any part of the bicycle or may be attached to any part of the bicycle user. The number of sensor units 10 may be one, or a plurality of sensor units 10 may be attached to a plurality of different locations.

  The display unit 20 includes a CPU (processing unit) 200, a communication interface (I / F) 210, an operation unit 220, a memory (storage unit) 230, and a display unit 240. The communication interface (I / F) 210 functions as a receiving unit that receives acceleration data and angular velocity data wirelessly transmitted from the sensor unit 10.

  The CPU 200 functions as a driving analysis information generation unit 202 that performs driving analysis information generation processing based on the received acceleration data and angular velocity data, and as a display control unit 204 that causes the display unit 240 to display the generated driving analysis information. Function. The driving analysis information generated by the CPU 200 is temporarily stored in order in the memory 230 (an example of a storage unit). Then, the driving analysis information generated by the CPU 200 can be displayed on the display unit 240 in real time, or the driving analysis information from the time point that has been traced back to the past from the present to the present is read from the memory 230, and the driving analysis is performed. It is also possible to display a time change graph of information on the display unit 240.

  A part of the driving analysis information generated by the CPU 200 is recorded in the nonvolatile memory 250 (an example of an information recording unit). Then, when the user performs a predetermined operation on the operation unit 220 such as an input key or a touch panel, the past desired driving analysis information can be read from the nonvolatile memory 250 and displayed on the display unit 240. It is like that. For example, the display unit 20 may be attached to a position where the user can easily view the information displayed on the display unit 240 (for example, the center of a bicycle handle), or may be fitted to an arm like a wristwatch.

  In order to attach the sensor unit 10 to an arbitrary position, it is desirable that the sensor unit 10 and the display unit 20 be connected wirelessly as in the present embodiment, but the sensor unit 10 and the display unit 20 are wired. You may make it connect with.

[Sensor mounting example 1]
FIGS. 2A and 2B are diagrams illustrating a first example of the attachment position of the sensor unit 10. 2A is a view of the user and the bicycle viewed from the lateral direction, and FIG. 2B is a view of the user and the bicycle viewed from the rear. In the first mounting example, the sensor unit 10 is mounted on the back of the user 2 so that any one detection shaft faces the rear or front of the bicycle 3. The roll angle can be calculated by integrating the angular velocity data around the detection axis (broken arrow in FIG. 2B) by the CPU 200, and the current roll angle can be displayed on the display unit 240 in real time. In addition, the time change information of the roll angle can be graphed and displayed on the display unit 240 or recorded in the nonvolatile memory 250.

  The user can objectively determine the driving technique from the roll angle information. For example, a graph of change in time of the roll angle as shown by the broken line in FIG. 3 is obtained in the previous run, and the change in time of roll angle as shown by the solid line in FIG. 3 in the current run performed under the same conditions as the previous run. If the graph is obtained, the average amplitude value Δa of the current roll angle is smaller than the average amplitude value Δb of the previous roll angle. Therefore, the user can determine that his / her driving skill has improved by comparing these graphs and knowing that this time the driving is less rolling than the previous time.

  Further, the CPU 200 can determine the level of the driving technique from the amplitude value of the roll angle, and display the determination result on the display unit 240. For example, the driving technology level is divided into five levels of levels 1 to 5 (for example, the driving technology is higher as the number of levels is lower), and the CPU 200 determines one of the levels 1 to 5 according to the average amplitude value of the roll angle. The determined level may be displayed on the display unit 240.

  Further, the user can objectively determine the degree of fatigue from the information on the time change of the roll angle. For example, when the graph of the change in the roll angle with time as shown in FIG. 4 is obtained during traveling under the same conditions, it can be seen that the average amplitude value of the roll angle has increased from ΔA to ΔB. That is, since the rolling has increased even though the running condition has not changed, it can be determined that the vehicle is tired.

  Furthermore, the CPU 200 can determine the fatigue level from the time change of the amplitude value of the roll angle, and display the determination result on the display unit 240. For example, the degree of fatigue is divided into five levels of levels 1 to 5 (for example, the higher the number of levels, the higher the degree of fatigue). Any one of levels 1 to 5 may be determined in accordance with the ratio of the average amplitude value of the current roll angle to the amplitude value, and the determined level may be displayed on the display unit 240.

  Note that the CPU 200 can calculate the posture of the sensor unit 10 based on the triaxial acceleration data and the triaxial angular velocity data from the sensor unit 10, so that the bicycle 200 in advance in the front-rear direction of the bicycle can be calculated in advance. You may make it calculate the rotation angle of the determined axis | shaft as a roll angle. If it does in this way, sensor part 10 can be attached in arbitrary directions.

[Sensor mounting example 2]
FIGS. 5A, 5 </ b> B, and 5 </ b> C are diagrams illustrating a second example of the attachment position of the sensor unit 10. 5 (A) is a view of the bicycle viewed from the lateral direction, FIG. 5 (B) is a view of the bicycle viewed from the rear, and FIG. 5 (C) is a view of the bicycle viewed from the top. In this second mounting example, the sensor unit 10 is arranged such that any one detection axis (first detection axis) faces the rear or front of the bicycle 3 on the top tube of the bicycle 3 and any other one detection is performed. The shaft (second detection shaft) is attached so as to face upward or downward. The roll angle can be calculated by integrating the angular velocity data around the first detection axis (broken arrow in FIG. 5B) by the CPU 200, and the current roll angle can be displayed on the display unit 240 in real time. Further, the yaw angle is calculated by integrating angular velocity data around the second detection axis (broken arrow in FIG. 5C) by the CPU 200, and the current yaw angle is displayed on the display unit 240 in real time. it can. Furthermore, the time change information of the roll angle and the yaw angle can be graphed and displayed on the display unit 240 or recorded in the nonvolatile memory 250.

  The user can objectively determine the driving technique from the information on the roll angle and the yaw angle. For example, in the previous run, a roll angle time change graph as shown by a broken line in FIG. 6A and a yaw angle time change graph as shown by a broken line in FIG. 6B are obtained. It is assumed that a roll angle time change graph as shown by a solid line in FIG. 6A and a yaw angle time change graph as shown by a solid line in FIG. . In this case, the average amplitude value Δa of the current roll angle is smaller than the average amplitude value Δb of the previous roll angle. Therefore, the user can understand that the rolling of this time is smaller than that of the previous time by comparing these graphs. Further, the average amplitude value Δc of the current yaw angle is smaller than the average amplitude value Δd of the previous yaw angle. Therefore, the user can understand that the present time is driving with less fluctuation than the previous time by comparing these graphs. Therefore, it can be determined that the self-driving technique has been improved comprehensively.

  Further, the CPU 200 can comprehensively determine the level of the driving skill from the amplitude value of the roll angle and the amplitude value of the yaw angle, and display the determination result on the display unit 240. For example, the driving technology level is divided into five levels of levels 1 to 5 (for example, the driving technology is higher as the number of levels is lower), and the CPU 200 determines the level 1 to 5 according to the average amplitude value of the roll angle and the average amplitude value of the yaw angle. 5 may be comprehensively determined, and the determined level may be displayed on the display unit 240.

  Further, the user can objectively determine the degree of fatigue from the information on the time change of the roll angle and the time change of the yaw angle. For example, it is assumed that a roll angle time change graph as shown in FIG. 7A and a yaw angle time change graph as shown in FIG. 7B are obtained during traveling under the same conditions. In this case, the average amplitude value of the roll angle increases from ΔA to ΔB, and the average amplitude value of the yaw angle increases from ΔC to ΔD. That is, since the rolling and the wobbling are increased although the running condition is not changed, it can be determined that the vehicle is tired.

  Further, the CPU 200 can comprehensively determine the fatigue level from the time change of the roll angle amplitude value and the time change of the yaw angle amplitude value, and display the determination result on the display unit 240. For example, the degree of fatigue is divided into five levels of levels 1 to 5 (for example, the higher the number of levels, the higher the degree of fatigue). The ratio of the average amplitude value of the current roll angle to the amplitude value) and the rate of change of the average amplitude value of the yaw angle (for example, the ratio of the average amplitude value of the current yaw angle to the average amplitude value of the yaw angle immediately after the start of operation) Accordingly, any one of levels 1 to 5 may be determined comprehensively, and the determined level may be displayed on the display unit 240.

  Note that the CPU 200 can calculate the posture of the sensor unit 10 based on the triaxial acceleration data and the triaxial angular velocity data from the sensor unit 10, so that the bicycle 200 in advance in the front-rear direction of the bicycle can be calculated in advance. The rotation angle of the determined axis may be calculated as the roll angle, and the rotation angle of the predetermined axis in the vertical direction of the bicycle may be calculated as the yaw angle. In this way, the sensor unit 10 can be attached to an arbitrary position of the bicycle frame in an arbitrary direction.

[Sensor mounting example 3]
FIG. 8 is a diagram illustrating a third example of the attachment position of the sensor unit 10. FIG. 8 is a view of the user and the bicycle viewed from the side. In the third attachment example, two sensor units 10 a and 10 b are attached to the bicycle 3.

  The sensor unit 10a is attached to the frame (top tube or the like) of the bicycle 3. The CPU 200 can calculate the posture of the sensor 10a based on the triaxial acceleration data and the triaxial angular velocity data from the sensor unit 10a, and the road inclination angle θ can be calculated from the posture information.

  Further, the CPU 200 calculates the acceleration α [g] in the traveling direction of the bicycle 3 based on the data from the sensor unit 10a, and using this acceleration α, for example, the traveling speed v [m of the bicycle according to the following equation (1). / s] can be calculated.

The sensor unit 10b is attached to the crank of the bicycle 3 so that any one detection shaft faces a direction perpendicular to the rotation surface of the crank. The CPU 200 calculates an angular velocity ω [dps] around the detection axis based on the data from the sensor unit 10b, and uses the angular velocity ω,
For example, the crank rotational speed N [rpm] can be calculated by the following equation (2).

  Further, assuming that the wheel radius is r [m], the CPU 200 can calculate the gear ratio T from the running speed v and the rotation speed N of the crank, for example, by the following equation (3).

  The current inclination angle θ, traveling speed v, rotation speed N, and gear ratio T can be displayed on the display unit 240 in real time. In addition, the time change information of the traveling speed v, the inclination angle θ, the rotation speed N, and the gear ratio T can be graphed and displayed on the display unit 240 or recorded in the nonvolatile memory 250.

  Further, for example, as shown in FIG. 9, the CPU 200 can generate graph data representing a correspondence relationship between the inclination angle θ, the traveling speed v, the rotation speed N, and the gear ratio T and display the graph data on the display unit 240. In FIG. 9, the horizontal axis represents the inclination angle, and the vertical axis represents one of travel speed, rotation speed, and gear ratio. When the leg strength is improved, part or all of the graph of the running speed, the number of revolutions, and the gear ratio is shifted upward, so that the user determines the improvement in leg strength by comparing the past and current graph data. be able to.

  The CPU 200 calculates the posture of the sensor unit 10a based on the triaxial acceleration data and the triaxial angular velocity data from the sensor unit 10a, specifies the traveling direction based on the posture information, and determines the traveling speed v or The inclination angle θ may be calculated. In this way, the sensor unit 10a can be attached to an arbitrary position on the bicycle frame in an arbitrary direction.

  Similarly, the CPU 200 calculates the posture of the sensor unit 10b based on the three-axis acceleration data and the three-axis angular velocity data from the sensor unit 10b, and specifies the rotation axis of the crank based on the posture information and rotates it. The number may be calculated. If it does in this way, sensor part 10b can be attached to arbitrary positions at the arbitrary position of the crank of a bicycle.

[Sensor mounting example 4]
FIG. 10 is a diagram illustrating a fourth example of the attachment position of the sensor unit 10. FIG. 10 is a view of the user and the bicycle viewed from the side. In the fourth mounting example, as in the first mounting example, one sensor unit 10 a is arranged behind the waist of the user 2 and any one detection shaft faces the rear or front of the bicycle 3. It is attached. Similarly to the third attachment example, two sensors 10b and 10c are attached to the frame and the crank of the bicycle 3, respectively. Further, as in the second mounting example, the sensor 10b is arranged on the top tube of the bicycle 3 such that any one detection axis faces the rear or front of the bicycle 3 and any other one detection shaft is above or below. It is attached so that it faces.

  Therefore, according to the fourth mounting example, the roll angle can be calculated using the data from the sensor unit 10a. Further, the roll angle, yaw angle, road inclination angle, and bicycle traveling speed can be calculated using data from the sensor unit 10b. Further, the rotation speed of the crank can be calculated using data from the sensor unit 10c. Further, the gear ratio can be calculated from the traveling speed of the bicycle and the rotational speed of the crank.

[Processing of display unit]
FIGS. 11 to 13 are diagrams illustrating an example of a screen displayed on the display unit 240 of the display unit 20, and the processing of the display unit 20 will be specifically described with reference to FIGS. 11 to 13.

  11 and 12 are diagrams illustrating an example of a sensor setting screen. First, when the display unit 20 is turned on, an initial setting screen 300 shown in FIG. 11 is displayed on the display unit 240. The initial setting screen 300 is provided with a plurality of sensor selection buttons (301, 302, 303,...). Each sensor unit 10 is assigned a unique sensor number in advance, and a sensor number (# 1, # 2, # 3,...) Is displayed on each sensor selection button. For example, when the sensor unit 10 and the display unit 20 are turned on, the display unit 20 performs data communication with each sensor unit 10 within a predetermined distance, and the serial number assigned to each sensor unit 10. Is acquired and displayed as a sensor number on the sensor selection button. Alternatively, one set of a plurality of usable sensor units 10 may be prepared, and sensor numbers assigned in advance to each sensor unit 10 may be displayed on the sensor selection button.

  When one of the selection buttons is touched on the initial setting screen 300, the sensor setting screen 310 shown in FIG. The sensor setting screen 310 is provided with a plurality of attachment position selection buttons (311, 312, 313,...). In this embodiment, the candidate of the attachment position of the sensor unit 10 is determined in advance, and each of the attachment position selection buttons displays attachment position candidates (“top tube”, “crank”, “waist,...”). For example, when three sensor units 10a, 10b, and 10c are attached as shown in Fig. 10, the user can select an attachment position selection button on which "waist" is displayed on the sensor setting screen 310 of the sensor 10a. Touch operation is performed on the attachment position selection button 312 on which “top tube” is displayed on the sensor setting screen 310 of the sensor 10b, and “crank” is displayed on the sensor setting screen 310 of the sensor 10c. The attached position selection button 313 is touch-operated.

  In the stationary state, the display unit 20 can determine the gravity direction from the acceleration data in the three-axis directions from each sensor unit 10, so that the initial posture (attachment angle) of each sensor unit 10 can be specified from the gravity direction. The display unit 20 holds information on the initial posture of each sensor unit 10 in the memory 230 or the nonvolatile memory 250.

  When the user completes the setting of the sensor unit 10 and starts driving, the display unit 20 performs the various driving analyzes described above while calculating the posture change from the initial posture based on the data from each sensor unit 10. Information is generated and displayed on the display unit 240. FIG. 13 is a diagram showing an example of a display screen of driving analysis information when three sensor units 10a, 10b, and 10c are attached as shown in FIG. In the driving analysis information display screen 320 shown in FIG. 13, the roll angle calculated from the data of the sensor unit 10a or 10b, the yaw angle, the tilt angle, the traveling speed calculated from the data of the sensor unit 10b, and the data of the sensor unit 10c. The calculated rotation speed and the gear ratio calculated from the traveling speed and the rotation speed are displayed in real time. Also, history buttons (321, 322, 323, 324, 325, 326) are displayed on the right side of these real-time values. When a touch operation of each history button is performed, the display unit 240 starts driving. The history after that (time change information) is displayed. For example, when the history button 321 is touched, graph data representing a change in roll angle over time as shown in FIG. 4 or FIG. 7A is displayed, and when the history button 322 is touched, the history data shown in FIG. The graph data representing the time change of the yaw angle as shown in FIG. Furthermore, past information may be displayed by performing a predetermined operation on the screen after the touch operation of each history button (321, 322, 323, 324, 325, 326).

  In the driving analysis information display screen 320, the level of driving skill and the level of fatigue determined based on the roll angle and yaw angle are displayed in real time. By knowing the level of driving skills and the level of fatigue, it is possible to train while judging whether or not driving is difficult to get tired.

  Further, the driving analysis information display screen 320 is provided with a leg strength analysis button 327. By performing a touch operation on the leg strength analysis button 327, a screen including graph data as shown in FIG. Is displayed. Furthermore, past graph data may be displayed by performing a predetermined operation on the screen. By comparing current and past graph data, it is possible to train while judging whether or not the leg strength is improved (whether or not the training is effective).

  As described above, in the driving analysis apparatus of the present embodiment, the sensor unit 10 is provided with the triaxial angular velocity sensor (100x, 100y, 100z) and the triaxial acceleration sensor (100x, 100y, 100z). Regardless of the mounting position of the sensor unit 10, it is possible to acquire information on acceleration, angular velocity, and posture angle in any direction necessary for generating driving analysis information. That is, the flexibility of the attachment position of the sensor unit 10 is high, and the sensor unit 10 can be attached at a position where it can be easily attached according to the shape of the bicycle. Conversely, more accurate driving analysis information can be generated by selecting the most appropriate position and orientation and attaching one or more sensor units 10 according to the type of driving analysis information to be displayed. . Therefore, it is possible to realize an easy-to-use driving analysis apparatus that can display various driving analysis information while having a simpler configuration than the conventional one.

  The present invention is not limited to the present embodiment, and various modifications can be made within the scope of the gist of the present invention.

  For example, in the present embodiment, the sensor unit 10 includes a three-axis acceleration sensor and a three-axis angular velocity sensor, but the detection axis may be one, two, or four or more axes. For example, the sensor unit 10 includes an acceleration sensor having four axes or more and an angular velocity sensor having four axes or more, and the display unit 20 has a predetermined value of the sensor unit 10 based on the acceleration data having four axes or more and the angular velocity data having four axes or more. The acceleration in the axial direction, the angular velocity around a predetermined axis, or the attitude may be calculated, and the driving analysis information may be generated based on the calculation result. As another form, the acceleration or angular velocity of the other axis may be obtained by calculation based on the output data of the acceleration sensor and the angular velocity sensor for detecting one or two axes. Moreover, although the form of the two-wheeled vehicle was demonstrated in this embodiment, it is applicable not only to a two-wheeled vehicle but to a unicycle or a three-wheeled or more bicycle.

  The present invention includes configurations that are substantially the same as the configurations described in the embodiments (for example, configurations that have the same functions, methods, and results, or configurations that have the same objects and effects). In addition, the invention includes a configuration in which a non-essential part of the configuration described in the embodiment is replaced. In addition, the present invention includes a configuration that exhibits the same operational effects as the configuration described in the embodiment or a configuration that can achieve the same object. Further, the invention includes a configuration in which a known technique is added to the configuration described in the embodiment.

1 driving analysis device, 2 user, 3 bicycle, 10, 10a, 10b, 10c sensor unit, 20 display unit, 100x, 100y, 100z, angular velocity sensor, 110x, 110y, 110z, acceleration sensor, 120 filter amplifier, 130 A / D converter, 140 communication interface (I / F), 200 CPU, 202 operation analysis information generation unit, 204 display control unit, 210 communication interface (I / F), 220 operation unit, 230 memory, 240 display unit , 250 Non-volatile memory, 300 screens, 301, 302, 303 Sensor selection buttons, 310 screens, 311, 312, 313 Mounting position selection buttons, 320 screens, 321, 322, 323, 324, 325, 326 History buttons, 327 Leg strength Analysis button

Claims (7)

Based on output data of a sensor unit including an angular velocity sensor attached to at least one of the bicycle and the user of the bicycle, the amount of movement of at least one of the bicycle in the roll direction and the yaw direction is calculated, and the amount of movement is calculated. As driving analysis information ,
The amount of movement is an average amplitude value in a predetermined period of at least one of a roll angle and a yaw angle . In claim 1,
A driving analysis device that determines the driving skill level of the user from the amount of movement. In claim 1 or 2,
The driving | running analysis apparatus which determines the said user's fatigue degree from the time change of the said movement amount. In any one of Claims 1 thru | or 3,
The sensor unit includes an acceleration sensor,
A driving analysis device that calculates a posture of the bicycle during traveling based on output data of the angular velocity sensor and the acceleration sensor, and uses the posture as the driving analysis information. In any one of Claims 1 thru | or 4,
The sensor unit includes a first sensor unit including an acceleration sensor attached to a frame of the bicycle, and a second sensor unit including an angular velocity sensor attached to a crank of the bicycle,
Using the data received from the first sensor unit, calculate the speed of the bicycle while running,
Using the data received from the second sensor unit, the rotation speed of the crank is calculated,
A driving analysis device that calculates a gear ratio using the speed and the rotation speed. In any one of Claims 1 thru | or 5,
A driving | running analysis apparatus provided with the display part which displays the said driving | running analysis information. In claim 6,
Including a storage unit for storing the driving analysis information;
The driving | running analysis apparatus which reads the log | history of the said driving | running analysis information from the said memory | storage part, and displays it on the said display part.

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