TWI871919B - Method and electronic device for dynamically adjusting display setting - Google Patents

Abstract

A method for dynamically adjusting display setting and an electronic device are provided. The method for dynamically adjusting display setting is adapted to the electronic device coupling to input device and a display. The method includes: obtaining a hardware information of the electronic device; collecting cursor signal; performing signal preprocessing on the cursor signal to generate cursor frequency signal set; according to a preset range, analyzing the cursor frequency signal set to acquire operating environment information corresponding to the cursor frequency signal set; in respond to the operating environment information being glossy surface information, adjusting display setting of the input device according to the hardware information, a preset parameter, and present display setting.

Description

Method and electronic device for dynamically adjusting display settings

The present disclosure relates to a method and an electronic device for dynamically adjusting display settings according to the size and parameters of the electronic device, and more particularly to a method and an electronic device for dynamically adjusting display settings.

When using a laptop, users often encounter an operating environment where the mouse or other input device cannot accurately control the cursor on the display. One of the situations is that the cursor will move significantly due to the smoothness of the desktop. However, when the user places the mouse on the case on one side (e.g., the left or right side) of the laptop touchpad, the remaining case area where the mouse can be operated is smaller than the standard mouse pad, resulting in the user frequently having to reposition the mouse to the center of the remaining case area, making it impossible for the user to conveniently and accurately operate the cursor of the electronic device.

In view of this, the present disclosure provides a method and an electronic device for dynamically adjusting display settings, which can solve the above technical problems.

The disclosed embodiment provides a method for dynamically adjusting display settings, which is applicable to an electronic device coupled to a display and an input device, and the method includes the following steps. The processor obtains hardware information of the electronic device. The processor collects a cursor signal, wherein the cursor signal is related to a signal input by the input device. The processor performs signal preprocessing on the cursor signal to generate a cursor frequency signal group, wherein the signal preprocessing includes converting the cursor signal from a time domain signal to a frequency domain signal. The processor analyzes the distribution range of the cursor frequency signal group according to a preset range, and obtains operating environment information corresponding to the cursor frequency signal group. In response to the operating environment information being the smooth environment information, the processor adjusts the display setting value corresponding to the input device according to the hardware information, the preset parameters and the current display setting value.

The disclosed embodiment provides an electronic device, which includes a memory and a processor. The processor is coupled to a display and an input device, and executes multiple modules stored in the memory. The hardware information collection module obtains the hardware information of the electronic device. The operation signal collection module collects the cursor signal. The signal pre-processing module performs signal pre-processing on the cursor signal to generate a cursor frequency signal group. The signal analysis module analyzes the distribution range of the cursor frequency signal group according to a preset range to obtain operating environment information corresponding to the cursor frequency signal group. In response to the operating environment information being smooth environment information, the display setting estimation module adjusts the display setting value according to the hardware information, the preset parameters and the current display setting value.

Based on the above, the method and electronic device for dynamically adjusting display settings of the disclosed embodiment pre-processes the cursor signal and analyzes the distribution range of the frequency domain signal to determine whether the operating environment information of the cursor signal is a smooth desktop, so as to automatically detect and prompt the user of the current operating environment. In addition, the appropriate display setting adjustment value of the current electronic device is calculated through a suitable algorithm to avoid the situation where the mouse is operated on a smooth desktop, resulting in the user being unable to accurately operate the cursor, thereby improving the user experience satisfaction and convenience.

In order to make the above features and advantages of the present disclosure more clearly understood, embodiments are specifically cited below and described in detail with reference to the accompanying drawings.

Some embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. When the same element symbols appear in different drawings, they will be regarded as the same or similar elements. These embodiments are only part of the present disclosure and do not disclose all possible implementations of the present disclosure. More precisely, these embodiments are only examples of methods and devices within the scope of the patent application of the present disclosure.

FIG1 is a block diagram of an electronic device according to an embodiment of the present disclosure. A computer system 100 may include an input device and an electronic device, wherein the electronic device may include a display 130, a processor 110, and a memory 120. In one embodiment, the computer system 100 is a computer device having a basic input and output system (BIOS), such as a laptop or a desktop computer. In one embodiment, the processor 110 of the electronic device is coupled to the display 130 and the memory 120, and the electronic device is coupled to the input device. In another embodiment, the electronic device includes the processor 110 and the memory 120, and the electronic device is coupled to the input device and the display 130.

The memory 120 of the electronic device 100 may be a system memory, such as any type of volatile random access memory (RAM). The input device is used to receive user commands/instructions input by the user. The input device 130 may be a keyboard, a mouse, or a touch device, etc., and the present disclosure is not limited thereto.

The processor 110 is, for example, a central processing unit (CPU), an application processor (AP), or other programmable general-purpose or special-purpose microprocessor, a digital signal processor (DSP), or other similar devices, integrated circuits, and combinations thereof. The processor 110 can access and execute program codes, codes, or instructions recorded in the basic input and output system device 110 and the system memory to implement the method of dynamically adjusting display settings in the disclosed embodiment.

The display 130 is used to display information, setting interface and operation interface. In different embodiments, the display 130 can be a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, etc., and the present disclosure is not limited thereto.

FIG2 is a flow chart of a method for dynamically adjusting display settings according to an embodiment of the present disclosure, and the method flow of FIG2 can be implemented by the electronic device 100 of FIG1. Please refer to FIG1 and FIG2, and the steps of the method for dynamically adjusting display settings of the present embodiment will be described below with reference to the components of the electronic device 100 of FIG1.

In step S210, the processor 110 obtains the hardware information of the electronic device. The hardware information includes at least one of the operating system registry value, display information, touch panel size, the usable range and size of one side of the case minus the touch panel, manufacturer information, product model, and display panel size. For example, the processor 110 reads the registry value in the Windows operating system, and then obtains the touch panel size, touch panel position, and case size of the electronic device, and then calculates the remaining range of one side of the case minus the touch panel (i.e., the usable range of the case). Specifically, the processor 110 may read device information in the device according to each operating system, such as the Hardware Developer Documentation in the Windows operating system, and thereby obtain the hardware information of the electronic device.

In step S220, the processor 110 collects cursor signals. The cursor signals are related to the signals input by the input device. In one embodiment, the processor 110 receives the cursor signals transmitted by the input device based on coupling with the input device. For example, the input device is a mouse, and when the user moves the mouse, presses the mouse button, and uses the mouse wheel, the mouse will output signals to the electronic device, so the processor 110 collects these signals and further collects the cursor signals.

In step S230, the processor 110 performs signal preprocessing on the cursor signal to generate a cursor frequency signal set. Signal preprocessing includes converting the cursor signal from a time domain signal to a frequency domain signal. In one embodiment, the processor 110 converts the cursor time domain signal to a cursor frequency domain signal through Fourier transformation to obtain the cursor frequency signal set.

In step S240, the processor 110 executes the signal analysis module 125, so that the signal analysis module 125 analyzes the distribution range of the cursor frequency signal group according to the preset range to obtain the operating environment information corresponding to the cursor frequency signal group. In one embodiment, when the distribution width of the frequency distribution range of the cursor frequency signal group analyzed by the signal analysis module 125 is less than the preset range of the frequency, the signal analysis module 125 determines that the operating environment information of the cursor frequency signal group is smooth environment information. On the contrary, when the distribution width of the frequency distribution range of the cursor frequency signal group is greater than the preset range, the signal analysis module 125 determines that the operating environment information of the cursor frequency signal group is a non-smooth operating environment. Specifically, the signal analysis module 125 determines the width of the distribution range of the cursor frequency signal group, and then analyzes whether the cursor frequency signal group is a cursor signal used on a smooth desktop, and then determines whether the mouse (input device) moves in a smooth operating environment (that is, the operating environment information belongs to smooth environment information).

In another embodiment, based on a plurality of historical cursor data stored in the memory of the electronic device, the signal analysis module 125 analyzes the operating environment information of the cursor frequency signal set by executing an operation algorithm. For example, the signal analysis module 125 analyzes the operating environment information of the current cursor frequency signal set as a smooth operating environment or a non-smooth operating environment based on the historical cursor signals of the smooth operating environment and the historical cursor signals of the non-smooth operating environment in the plurality of historical cursor data.

In step S250, the processor 110 executes the display setting estimation module 126, so that the display setting estimation module 126 adjusts the display setting value of the corresponding input device according to the hardware information, the preset parameters and the current display setting value in response to the operating environment information being the smooth environment information. Specifically, the display setting estimation module 126 calculates the display setting adjustment value of the corresponding electronic device according to the hardware information, the preset parameters and the current display setting value, and then sets the current display setting value as the display setting adjustment value. In this way, the method for dynamically adjusting the display setting and the electronic device can determine whether the input device (such as a mouse) is operated in a smooth environment, and calculate the display setting adjustment value based on the current display setting of the electronic device and the remaining operable range position of the electronic device, and then dynamically adjust the display setting value to correspond to the display setting adjustment value of the electronic device.

In one embodiment, the preset parameters include a preset standard mouse operating range (i.e., a preset standard mouse pad size), a preset coefficient upper limit, and a display setting upper limit, and the hardware information includes a usable range of the housing (i.e., the remaining size of the housing). The processor 110 executes the display setting estimation module 125 to calculate the adjustment coefficient of the display setting according to the usable range of the housing, the maximum adjustment coefficient, and the standard operating range in the hardware information.

The specific steps of calculating the display setting adjustment value are as follows. The display setting estimation module 125 obtains the adjustment coefficient according to the standard mouse operating range and the usable range of the housing. Since the remaining size of the housing of a common electronic device is not larger than the standard mouse pad size, the adjustment coefficient in this embodiment is related to the length-width ratio of the standard mouse operating range and the usable range of the housing, and the value of the adjustment coefficient is between 1 and the preset coefficient upper limit value to ensure that the remaining size of the housing is not larger than the standard mouse pad size, thereby avoiding the situation of misestimation of the remaining size of the housing. The calculation method of the adjustment coefficient is shown in the following equations (1) and (2): ……(1) ……(2)

W _l is the weight of the mouse pad length (length), W _w is the weight of the mouse pad width (width), P _l is the custom standard mouse pad length, P _w is the custom standard mouse pad width, V _l is the virtual mouse pad length, V _w is the virtual mouse pad width, S is the mouse sensitivity adjustment coefficient, and S _max is the upper limit of the mouse sensitivity adjustment coefficient.

Then, the display setting estimation module 125 obtains the display setting adjustment value according to the preset coefficient upper limit value, the display setting upper limit value, the adjustment coefficient and the current display setting value. The display setting adjustment value is related to the ratio of the adjustment coefficient to the preset coefficient upper limit value, and the display setting adjustment value is not greater than the display setting upper limit value. The calculation method of the adjustment coefficient of the mouse sensitivity after adjustment (i.e., the display setting adjustment value) is shown in the following equations (3) and (4): ……(3) ……(4)

M _out is the mouse sensitivity after adjustment, S is the mouse sensitivity adjustment coefficient setting, S _max is the upper limit of the mouse sensitivity adjustment coefficient, M _max is the maximum mouse sensitivity setting value in the operating system settings, and M _input is the current mouse sensitivity setting value in the operating system settings. The mouse sensitivity after adjustment will be rounded to the unit, and the setting value will not exceed the maximum mouse sensitivity setting value in the operating system.

In this way, through the above-calculated adjusted mouse sensitivity, the display setting estimation module 125 can adjust the current display setting value to the display setting adjustment value (ie, the adjusted mouse sensitivity) in step S250 and step S805 to adjust the display setting value of the corresponding input device.

FIG. 3 is a flow chart of reading system parameters to obtain the remaining size of the housing according to an embodiment of the present disclosure. The display setting value includes a cursor movement speed, and the default parameter includes a standard operating range. The standard operating range can be a default standard mouse pad length and width, for example, the standard length is defaulted to 26 cm, and the standard width is defaulted to 22 cm. Referring to FIG. 3, the processor 110 executes the hardware information collection module 122 to obtain the hardware information of the input device, and the processor 110 is further used to execute steps S301 to S307.

In step S301, the hardware information collection module 122 reads the register value of the operating system of the electronic device; the register value is related to the touch panel information of the electronic device. For example, if the operating system is Windows, the processor 110 learns from the guidelines published online by Microsoft that the size of the read touch panel of the electronic device should be recorded in the field of the physical maximum value (PHYSICAL_MAXIMUM) of the report descriptor to read the touch panel size. In addition, the touchpad position information is in the registry path “HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\PrecisionTouchPad”, so the processor 110 further reads the registry values of “HorizontalOffset, HorizontalOffsetIsNeg, SpaceBarOffset” in the above registry path to obtain the position of the touchpad of the electronic device.

In step S302, in response to not reading the registered value, the hardware information collection module 122 reads the system information of the electronic device. In this case, the system information includes at least one of the manufacturer information, the product model, and the display size. For example, in the Windows operating system, the hardware information collection module 122 can execute the command "msinfo32.exe" to view the system information, thereby obtaining the manufacturer information. In addition, the hardware information collection module 122 can execute the command "msinfo32.exe" in the electronic device to view the system information, thereby obtaining the product model information. Similarly, the hardware information collection module 122 obtains the display panel size of a laptop computer by reading the "Extended Display Identification Data (EDID)" in the operating system.

In step S303, the hardware information collection module 122 obtains the usable range of the outer shell of the electronic device based on the system information search database. That is, the hardware information collection module 122 uses the system information obtained in step S302 as an index to query the database. For example, the database stores information about the operable range of a single side of a touch panel of a plurality of electronic devices. In this way, the hardware information collection module 122 searches for matching data from the database based on the system information (such as manufacturer information and product model) obtained in step S302, and thereby obtains the operable range of the electronic device.

In step S304 and step S305, in response to the database not storing the usable range of the housing of the electronic device, the hardware information collection module 122 reads the size information of the display in the electronic device, and then calculates the touch panel information of the electronic device. In other words, when the database does not store the data of the electronic device, the hardware information collection module 122 calculates the display panel size and the touch panel size (i.e., the touch panel information) of the electronic device according to the preset calculation parameters. The preset calculation parameters can be the relationship between the hardware information parameters and the display panel size. The preset calculation parameters are shown in Table 1 below, which illustrates a set of preset calculation parameters (i.e., the size relationship parameters of the touch panel, the chassis frame, and the display panel). In the parameters, the touch panel size can be 20% to 60% of the display panel, and the frame size can be the display panel plus 1 to 5 cm, so this case should not be limited to this. For example, the length and width of the display panel read in step S302 are 31 cm and 17 cm, and then the hardware information collection module 122 calculates the length and width of the touch panel as 10.23 cm and 6.8 cm according to the preset calculation parameters. Touch panel length 33% of the display panel length Touch panel width 40 percent of the display panel width Border length Add 2 cm to the display panel length Border width Add 5 cm to the width of the display panel Table 1

In step S306, based on the size information of the display 130 and the touch panel information, the hardware information collection module 122 calculates the usable range of the housing. For example, the hardware information collection module 122 subtracts the touch panel size from the housing size calculated in step S305 to obtain the remaining housing size on one side of the touch panel, wherein the remaining housing size is the range of the housing on the same plane as the touch panel that can operate the mouse on one side after deducting the touch panel. In this way, the hardware information collection module 122 can read the hardware information of the electronic device through one of the database and the operating system registration value to obtain the remaining housing size of the electronic device. In addition, in step S307, the hardware information collection module 122 stores the hardware information and the remaining size of the chassis obtained in step S306 and step 301 in the database, thereby increasing the speed of calculating the remaining size of the chassis next time. The database is one of the cloud database and the local storage device.

FIG. 4 is a flow chart of reading and processing cursor signals according to an embodiment of the present disclosure. Referring to FIG. 4 , the processor is further used to execute the operation signal collection module to execute steps S401 to S406. In step S401, the operation signal collection module 123 initializes the cursor signal variable set. That is, the operation signal collection module 123 sets all variable values in the cursor signal variable set to zero. In this embodiment, the cursor signal variable set is composed of two variables, namely a movement counter and a position array, which are used to record the analyzed mouse/cursor information. The movement counter is used to record the number of continuous cursor movement events currently collected, and is set to an integer variable by default. Cursor movement events include cursor movement and cursor leaving the display screen. The mouse/cursor position array is used to record the position information of each group of continuous movement events currently collected. It is set to a two-dimensional integer array by default.

In step S402, the operation signal collection module 123 receives the signal input by the input device. In one embodiment, the operation signal collection module 123 receives the signal sent by the input device through the communicator of the electronic device. In step S403, the operation signal collection module 123 sequentially determines the signal classification of these signals, and then determines whether the signal is a cursor movement event. Signal classification includes mouse movement events (i.e., cursor movement), mouse button events (such as pressing the left button, releasing the left button), scroll wheel scrolling events (such as the cursor scrolling up and down the page in the web browser) and cursor leaving events, among which mouse movement events and cursor leaving events are classified as cursor movement events.

In step S404, in response to the signal being a non-cursor movement event (i.e., one of a mouse button event and a scroll wheel event), the operation signal collection module 123 repeatedly executes step S401 to reset the counter value and clear the record of the cursor signal variable set.

In step S404, in response to the signal being a cursor movement signal (i.e., one of the cursor movement and the cursor leaving the screen), the operation signal collection module 123 increases the counter value of the counter by one and records the cursor position data as a cursor signal variable set. In other words, the operation signal collection module 123 extracts the mouse position information in this event and stores it in the mouse/cursor position array.

In step S405, in response to the count value reaching a preset count value (which may be between 3 and 50 times, such as 10, 15 or 30 times, but the present invention should not be limited thereto), the operation signal collection module 123 uses the cursor signal variable set as the cursor signal. In other words, when the value of the mouse movement counter exceeds a given threshold value (i.e., the preset count value), it can be interpreted as the user has not performed normal mouse operations within a certain period of time, which means that the mouse may be used on a smooth desktop, so the mouse position array (i.e., the cursor signal variable set) is output to the signal pre-processing module 124 for further calculation (step S406).

FIG. 5 is a flow chart of processing a cursor signal into a cursor frequency signal set according to an embodiment of the present disclosure. FIG. 6A and FIG. 6B are schematic diagrams of a horizontal axis signal, a horizontal axis frequency signal, a vertical axis signal, and a vertical axis frequency signal of non-smooth desktop information according to an embodiment of the present disclosure. FIG. 7A and FIG. 7B are schematic diagrams of a horizontal axis signal, a horizontal axis frequency signal, a vertical axis signal, and a vertical axis frequency signal of smooth desktop information according to an embodiment of the present disclosure. Referring to FIG. 5 , the processor 110 executes the signal pre-processing module 124 to perform steps S501 to S509.

In step S501, the signal pre-processing module 124 reads the cursor position array (i.e., the position array in the cursor signal variable group). The cursor signal includes the cursor position array, and the cursor position array includes the cursor horizontal axis signal and the cursor vertical axis signal. In steps S502 and S505, the signal pre-processing module 124 respectively captures the cursor horizontal axis data stream and the cursor vertical axis data stream from the cursor position array. In other words, the signal pre-processing module 124 first separates the data streams of the horizontal axis (i.e., the X axis) and the vertical axis (i.e., the Y axis) in the mouse cursor position array.

Next, in step 503 and step S506, the signal pre-processing module 124 captures multiple cursor horizontal/vertical axis signal frames in the cursor horizontal/vertical axis signal (i.e., data stream) according to the capture setting parameters. The capture setting parameters may be capture range parameters and setting parameters for capturing the signal at a certain interval of signal points. In other words, the signal pre-processing module 124 captures multiple cursor vertical axis signal frames in the cursor vertical axis signal and captures multiple cursor horizontal axis signal frames in the cursor horizontal axis signal according to the capture setting parameters. Specifically, the signal pre-processing module 124 captures a fixed number of sampling points (e.g., 256 sampling points) (i.e., captures setting parameters) of the data streams of the horizontal axis and the vertical axis, respectively, every fixed sampling point (e.g., 192 sampling points) (i.e., captures setting parameters) as an analysis unit, which are used as a cursor horizontal axis signal frame (Frame) and a cursor vertical axis signal frame, respectively.

In step S504 and step S507, the signal pre-processing module 124 performs Fourier transform on the signal frames captured in step S503 and step S506, and converts the time domain signals of each axis into frequency domain signals. Specifically, in step S504 and step S507, the signal pre-processing module 124 converts multiple cursor horizontal axis signal frames and multiple cursor vertical axis signal frames from time domain signals into frequency domain signals through Fourier transform, respectively, to obtain multiple vertical axis frequency signals and multiple horizontal axis frequency signals.

As shown in FIG6A and FIG7A, the left side is the time domain signal of the cursor X-axis (horizontal axis) signal frame, and after the signal pre-processing module 124 performs Fourier transformation on it, the cursor X-axis frequency domain signal as shown in FIG6A and the right side of FIG7A is obtained. Similarly, as shown in FIG6B and FIG7B, the left side is the time domain signal of the cursor Y-axis (vertical axis) signal frame, and after the signal pre-processing module 124 performs Fourier transformation on it, the cursor Y-axis frequency domain signal as shown in FIG6B and the right side of FIG7B is obtained. The cursor signals of FIG6A and FIG6B are operation signals of the mouse in a general desktop (non-smooth) operation environment, and the cursor signals of FIG7A and FIG7B are operation signals of the mouse in a smooth operation environment.

From FIG. 6A to FIG. 7B , it can be seen that when the mouse is used on a general desktop, the changes of the mouse position coordinates X and Y axes on the time axis are relatively smooth. After the signal pre-processing module 124 performs Fourier transformation on it, it can be seen that the frequency distribution range of its signal is relatively wide (as shown in FIG. 6A and the right figure of FIG. 6B ). When the mouse is used on a smooth desktop, the changes of the mouse position coordinates X and Y axes on the time axis are relatively abrupt and non-smooth. After the signal pre-processing module 124 performs Fourier transformation on it, it can be seen that the frequency distribution range of its signal is relatively narrow (as shown in FIG. 7A and the right figure of FIG. 7B ). In other words, the cursor frequency domain signal of the mouse in a smooth operating environment has a narrow distribution range. In this way, the signal analysis module 125 determines the operating environment information of the current cursor signal (i.e., smooth desktop or non-smooth desktop) by comparing the distribution range of the cursor frequency domain signal with the size of the preset range. It is additionally explained that the X-axis unit of the left graph in FIG6A, FIG6B, FIG7A and FIG7B is time, and the Y-axis unit is amplitude; the X-axis unit of the right graph is frequency, and the Y-axis unit is amplitude.

In step S508, the signal preprocessing module 124 sequentially groups the multiple vertical axis frequency signals into a vertical axis frequency signal group, and the signal preprocessing module 124 sequentially groups the multiple horizontal axis frequency signals into a horizontal axis frequency signal group. Specifically, the signal preprocessing module 124 sequentially connects the multiple vertical axis frequency signals and the multiple horizontal axis frequency signal groups. In addition, the signal preprocessing module 124 uses the vertical axis frequency signal group and the horizontal axis frequency signal group at the corresponding time as the cursor frequency signal group. In step S509, the signal preprocessing module 124 outputs the cursor frequency signal group. In this configuration, the signal pre-processing module 124 captures the mouse position coordinate signal and performs appropriate pre-processing to ensure that the collected cursor signal can be effectively analyzed.

Since the amount of computation required and the accuracy of each algorithm are different, using an inappropriate algorithm may cause the electronic device to crash or have low accuracy. In one embodiment, the memory 120 further stores a performance evaluation module 121, which is used to determine the algorithm suitable for the current processor 110 to improve the computational efficiency of the processor 110 when executing other steps. The performance evaluation module 121 executes the same prediction program through multiple algorithms to obtain multiple execution times. The performance evaluation module 121 uses the algorithm with the shortest execution time among the multiple algorithms as the operation algorithm of the electronic device. In this way, the performance evaluation module 121 can obtain the most suitable algorithm for the electronic device in real time according to the performance of the electronic device. The algorithm can be a deep neural network, a statistical model algorithm (such as a hidden Markov model) or a cluster analysis algorithm (such as K-means), but the present invention should not be limited to this.

In one embodiment, the algorithm selected by the performance evaluation module 121 is a deep neural network. In step S250, the signal analysis module 125 executes the deep neural network to analyze the distribution range of the cursor frequency signal group based on multiple historical cursor data, thereby obtaining the operating environment information corresponding to the cursor frequency signal group. The operating environment information is related to the historical operation information of the multiple historical cursor data and the historical frequency signal group. The signal analysis module 125 can determine the operating environment information of the current cursor frequency signal group based on the historical cursor data.

FIG8 is a flow chart of determining whether the mouse is used on a smooth desktop and adjusting the sensitivity according to an embodiment of the present disclosure. Referring to FIG8 , the processor 110 of the electronic device 100 may execute steps S801 to S808. In step S801, the processor 110 determines whether the mouse (i.e., the input device) is used on a smooth desktop according to step S240. In step S802, in response to the operating environment information of the mouse being a smooth desktop, the processor 110 displays a prompt window on the display 130. The prompt window may include content such as "Is the mouse on a smooth surface? Do you want to operate the mouse on the case?" or "The mouse is detected to be on a smooth surface. Do you want to place the mouse next to the touchpad and increase the mouse sensitivity?" and include a confirmation key and a cancel key. In this way, the processor 110 prompts the user through the prompt window to place the mouse on the remaining case next to the touchpad of the electronic device, and automatically adjusts the mouse sensitivity to a setting value that can be operated on the case (i.e., displays the setting adjustment value).

In step S803, the processor 110 determines whether an adjustment command is received (i.e., the user clicks the confirmation button of the display window in step S802). In step S804, the processor 110 responds to the fact that the operating environment information is smooth environment information and an adjustment command is received. The processor 110 reads the sensitivity setting value. In other words, the processor 110 reads the display setting adjustment value obtained in step S250 according to the display setting adjustment coefficient, the maximum value of the adjustment coefficient, the maximum setting value, the minimum setting value, and the current display setting value.

In step S805, the processor 110 adjusts the current display setting value of the electronic device to the adjusted display setting value, thereby setting the mouse sensitivity. In step S806, the processor 110 ends this process. In step S807, the processor 110 determines whether the current display setting value is equal to the default value. In step S808, in response to the operating environment information being the non-smooth environment information and the current display setting value not being equal to the default value, the processor 110 adjusts the current display setting value to the default value of the display setting.

In summary, in the embodiments disclosed herein, the method and electronic device for dynamically adjusting display settings pre-process and analyze the distribution range of frequency domain signals to determine the operating environment information of the cursor signal, so as to automatically detect and prompt the user of the current operating environment. In addition, the method and electronic device for dynamically adjusting display settings calculate the range of the mouse that can be operated next to the touch panel of the current electronic device to adjust the mouse sensitivity. In this way, the method and electronic device for dynamically adjusting display settings can calculate the display setting adjustment value suitable for the current electronic device through a suitable algorithm, and prompt the user whether to adopt the adjusted mouse sensitivity and place the mouse on the housing for operation, so as to improve the user experience satisfaction and convenience.

Although the present disclosure has been disclosed as above by way of embodiments, it is not intended to limit the present disclosure. Any person having ordinary knowledge in the relevant technical field may make some changes and modifications without departing from the spirit and scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the definition of the attached patent application scope.

100: Computer system 110: Processor 120: Memory 130: Display 121: Performance evaluation module 122: Hardware information collection module 123: Operation signal collection module 124: Signal pre-processing module 125: Signal analysis module 126: Display setting estimation module S210~S250, S301~307, S401~S406, S501~S509, S801~S808: Steps

FIG. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure. FIG. 2 is a flow chart of a method for dynamically adjusting display settings according to an embodiment of the present disclosure. FIG. 3 is a flow chart of reading system parameters to obtain the remaining size of the housing according to an embodiment of the present disclosure. FIG. 4 is a flow chart of reading and processing cursor signals according to an embodiment of the present disclosure. FIG. 5 is a flow chart of processing cursor signals into cursor frequency signal groups according to an embodiment of the present disclosure. FIG. 6A and FIG. 6B are schematic diagrams of horizontal axis signals, horizontal axis frequency signals, vertical axis signals, and vertical axis frequency signals of non-smooth desktop information according to an embodiment of the present disclosure. FIG. 7A and FIG. 7B are schematic diagrams of the horizontal axis signal, the horizontal axis frequency signal, the vertical axis signal, and the vertical axis frequency signal of the smooth desktop information according to an embodiment of the present disclosure. FIG. 8 is a flow chart of determining whether the mouse is used on a smooth desktop and adjusting the sensitivity according to an embodiment of the present disclosure.

S210~S250: Steps

Claims (20)

A method for dynamically adjusting display settings is applicable to an electronic device coupled to a display and an input device, the method comprising: Obtaining hardware information of the electronic device; Collecting a cursor signal, wherein the cursor signal is related to a signal input by the input device; Performing signal preprocessing on the cursor signal to generate a cursor frequency signal set, wherein the signal preprocessing includes converting the cursor signal from a time domain signal to a frequency domain signal; Analyzing the distribution range of the cursor frequency signal set according to a preset range to obtain operating environment information corresponding to the cursor frequency signal set; and In response to the operating environment information being smooth environment information, the display setting value corresponding to the input device is adjusted according to the hardware information, the default parameters and the current display setting value. A method for dynamically adjusting display settings as described in claim 1, wherein the display setting value includes a cursor movement speed, and the default parameter includes a standard operating range, wherein the step of adjusting the display setting value corresponding to the input device further includes: Calculating the adjustment coefficient of the display setting based on the usable range of the housing, the maximum value of the adjustment coefficient, and the standard operating range in the hardware information; In response to the operating environment information being the smooth environment information and receiving an adjustment instruction, adjusting the display setting value based on the adjustment coefficient of the display setting, the maximum value of the adjustment coefficient, the maximum setting value, the minimum setting value, and the current display setting value; and In response to the operating environment information being non-smooth environment information and the current display setting value being non-default value, the current display setting value is adjusted to the default value. The method for dynamically adjusting display settings as described in claim 1, wherein before the step of obtaining the hardware information of the input device, the method further includes: Reading a register value of the operating system of the electronic device; In response to not reading the register value, reading the system information of the electronic device; Searching for data in a database based on the system information to obtain a usable range of the outer shell of the electronic device; In response to not storing the usable range of the outer shell of the electronic device in the database, reading the size information of the display in the electronic device, and then calculating the touch panel information of the electronic device; and Calculating the usable range of the outer shell based on the size information of the display and the touch panel information. A method for dynamically adjusting display settings as described in claim 3, wherein the registration value is related to the touch panel information of the electronic device, wherein the system information includes manufacturer information, product model, and display size. A method for dynamically adjusting display settings as described in claim 1, wherein the step of collecting the cursor signal comprises: Initializing a cursor signal variable set; Receiving the signal input by the input device; In response to the signal being a cursor movement signal, increasing the counter value of the counter by one, and recording the cursor position data as the cursor signal variable set; In response to the signal being a cursor event signal, zeroing the counter value of the counter and clearing the record of the cursor signal variable set; and In response to the counter value reaching a preset count value, using the cursor signal variable set as the cursor signal. A method for dynamically adjusting display settings as described in claim 1, wherein the cursor signal includes a cursor horizontal axis signal and a cursor vertical axis signal, wherein the step of performing signal preprocessing on the cursor signal includes: capturing multiple cursor horizontal axis signal frames in the cursor horizontal axis signal according to a capture setting parameter; capturing multiple cursor vertical axis signal frames in the cursor vertical axis signal according to a capture setting parameter; converting the multiple cursor horizontal axis signal frames and the multiple cursor vertical axis signal frames from the time domain signal to the frequency domain signal through Fourier transform to obtain multiple vertical axis frequency signals and multiple horizontal axis frequency signals; The multiple vertical axis frequency signals are sequentially grouped into a vertical axis frequency signal group, and the multiple horizontal axis frequency signals are sequentially grouped into a horizontal axis frequency signal group; and The vertical axis frequency signal group and the horizontal axis frequency signal group are used as the cursor frequency signal group. A method for dynamically adjusting display settings as described in claim 1, wherein the preset parameters include a preset standard mouse operating range, a preset coefficient upper limit value, and a display setting upper limit value, and the hardware information includes a usable range of the shell, wherein the step of adjusting the display setting value corresponding to the input device according to the hardware information, the preset parameters, and the current display setting value includes: According to the standard mouse operating range and the usable range of the shell, an adjustment coefficient is obtained, wherein the adjustment coefficient is related to the length-width ratio of the standard mouse operating range to the usable range of the shell, and the value of the adjustment coefficient is between 1 and the preset coefficient upper limit value; According to the preset coefficient upper limit value, the display setting upper limit value, the adjustment coefficient and the current display setting value, a display setting adjustment value is obtained, wherein the display setting adjustment value is related to the ratio of the adjustment coefficient to the preset coefficient upper limit value, wherein the display setting adjustment value is not greater than the display setting upper limit value; and Adjusting the current display setting value to the display setting adjustment value to adjust the display setting value corresponding to the input device. The method for dynamically adjusting display settings as described in claim 1, wherein before executing the signal preprocessing step, the method further includes: Executing a prediction program through multiple algorithms respectively to obtain multiple execution times; and Using the algorithm with the shortest execution time among the multiple algorithms as the operation algorithm of the electronic device. The method for dynamically adjusting display settings as described in claim 8, wherein the step of analyzing the distribution range of the cursor frequency signal group according to the preset range to obtain the corresponding operating environment information includes: Analyzing the operating environment information of the cursor frequency signal group by executing the operation algorithm according to multiple historical cursor data in the memory of the electronic device, wherein the operation algorithm is one of a deep neural network, a statistical model algorithm, and a cluster analysis. The method for dynamically adjusting display settings as described in claim 9, wherein the step of analyzing the operating environment information of the cursor frequency signal group by executing the operation algorithm based on the multiple historical cursor data in the memory includes: Executing the deep neural network to analyze the distribution range of the cursor frequency signal group based on the multiple historical cursor data, thereby obtaining the operating environment information corresponding to the cursor frequency signal group, wherein the operating environment information is related to the historical operation information of the multiple historical cursor data and the historical frequency signal group. An electronic device includes: A memory storing a plurality of modules; and A processor coupled to a display and an input device, and loading and executing the modules stored in the memory, wherein the modules include: A hardware information collection module for obtaining hardware information of the electronic device; An operation signal collection module for collecting a cursor signal, wherein the cursor signal is related to a signal input by the input device; A signal preprocessing module for performing signal preprocessing on the cursor signal to generate a cursor frequency signal set; wherein the signal preprocessing includes converting the cursor signal from a time domain signal to a frequency domain signal; A signal analysis module analyzes the distribution range of the cursor frequency signal group according to a preset range to obtain operating environment information corresponding to the cursor frequency signal group; and a display setting estimation module, in response to the operating environment information being smooth environment information, the display setting estimation module adjusts the display setting value corresponding to the input device according to the hardware information, the preset parameters and the current display setting value. An electronic device as described in claim 11, wherein the display setting value includes a cursor movement speed, and the default parameter includes a standard operating range, wherein the processor executes the display setting estimation module to: According to the usable range of the housing, the maximum value of the adjustment coefficient and the standard operating range in the hardware information, the display setting estimation module calculates the adjustment coefficient of the display setting; and In response to the operating environment information being the smooth environment information, and the display setting estimation module receiving an adjustment instruction, according to the adjustment coefficient of the display setting, the maximum value of the adjustment coefficient, the maximum setting value, the minimum setting value and the current display setting value, the display setting estimation module adjusts the display setting value; and In response to the operating environment information being non-smooth environment information and the current display setting value being non-default value, the display setting estimation module adjusts the current display setting value to the default value. The electronic device as described in claim 11, wherein the hardware information collection module obtains the hardware information of the input device, and the processor further executes the hardware information collection module to: Read the registration value of the operating system of the electronic device; In response to not reading the registration value, read the system information of the electronic device; Search the data in the database based on the system information to obtain the usable range of the outer shell of the electronic device; In response to not storing the usable range of the outer shell of the electronic device in the database, read the size information of the display in the electronic device, and then calculate the touch panel information of the electronic device; and Based on the size information of the display and the touch panel information, the processor calculates the usable range of the housing. An electronic device as described in claim 13, wherein the registration value is related to the touch panel information of the electronic device, wherein the system information includes manufacturer information, product model, and display size. In the electronic device as described in claim 11, the processor further executes the operation signal collection module to: initialize the cursor signal variable group; receive the signal input by the input device and determine the signal classification of the signal; in response to the signal being a cursor movement signal, increase the counter value of the counter by one and record the cursor position data as the cursor signal variable group; in response to the signal being a cursor event signal, reset the counter value of the counter and clear the record of the cursor signal variable group; and in response to the counter value reaching a preset count value, use the cursor signal variable group as the cursor signal. An electronic device as described in claim 11, wherein the cursor signal includes a cursor horizontal axis signal and a cursor vertical axis signal, wherein the processor further executes the signal pre-processing module to: Capture multiple cursor horizontal axis signal frames in the cursor horizontal axis signal according to the capture setting parameter; Capture multiple cursor vertical axis signal frames in the cursor vertical axis signal according to the capture setting parameter; Convert the multiple cursor horizontal axis signal frames and the multiple cursor vertical axis signal frames from the time domain signal to the frequency domain signal through Fourier transformation to obtain multiple vertical axis frequency signals and multiple horizontal axis frequency signals; The multiple vertical axis frequency signals are sequentially grouped into a vertical axis frequency signal group, and the multiple horizontal axis frequency signals are sequentially grouped into a horizontal axis frequency signal group; and The vertical axis frequency signal group and the horizontal axis frequency signal group are used as the cursor frequency signal group. An electronic device as described in claim 11, wherein the preset parameters include a preset standard mouse operating range, a preset coefficient upper limit value, and a display setting upper limit value, and the hardware information includes a usable range of the shell, wherein the processor further executes the display setting estimation module to: According to the standard mouse operating range and the usable range of the shell, obtain an adjustment coefficient, wherein the adjustment coefficient is related to the length-width ratio of the standard mouse operating range to the usable range of the shell, and the value of the adjustment coefficient is between 1 and the preset coefficient upper limit value; According to the preset coefficient upper limit value, the display setting upper limit value, the adjustment coefficient and the current display setting value, a display setting adjustment value is obtained, wherein the display setting adjustment value is related to the ratio of the adjustment coefficient to the preset coefficient upper limit value, wherein the display setting adjustment value is not greater than the display setting upper limit value; and Adjusting the current display setting value to the display setting adjustment value to adjust the display setting value corresponding to the input device. An electronic device as described in claim 11, wherein the memory further stores a performance evaluation module, and the processor executes the performance evaluation module, wherein the performance evaluation module executes prediction programs based on multiple algorithms respectively to obtain multiple execution times; wherein the performance evaluation module uses the algorithm with the shortest execution time among the multiple algorithms as the operation algorithm of the electronic device. The electronic device as described in claim 18, wherein the distribution range of the cursor frequency signal group is analyzed according to the preset range, and the processor further executes the signal analysis module to: Analyze the operating environment information of the cursor frequency signal group by executing the operation algorithm according to multiple historical cursor data in the memory of the electronic device, wherein the operation algorithm is one of a deep neural network, a statistical model algorithm, and a cluster analysis. The electronic device as described in claim 19, wherein the processor further executes the signal analysis module to: Execute the deep neural network to analyze the distribution range of the cursor frequency signal group based on the multiple historical cursor data, thereby obtaining the operating environment information corresponding to the cursor frequency signal group, wherein the operating environment information is related to the historical operating information of the multiple historical cursor data and the historical frequency signal group.

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