Vehicle control method, electric mobility scooter, electronic device, computer storage medium and computer program product

Abstract

A vehicle control method, an electric mobility scooter, an electronic device, a computer storage medium and a computer program product. The vehicle control method applied to an electric mobility scooter comprises: when an electric mobility scooter meets a gesture recognition condition, collecting detection images of target areas (step 101), wherein the target areas comprise an activity area of both hands of a driver and an area where the upper body of the driver is located; on the basis of the detection images, determining a gesture recognition result (step 102); determining a target vehicle control strategy corresponding to the gesture recognition result (step 103); and on the basis of the target vehicle control strategy, controlling the electric mobility scooter (step 104).

Description

Vehicle control methods, electric mobility scooters, electronic devices, computer storage media, and computer program products Technical Field

[0001] This application relates to the field of vehicle technology, and more particularly to a vehicle control method, an electric mobility scooter, an electronic device, a computer storage medium, and a computer program product. Background Technology

[0002] With the increasing popularity of private cars, more and more families are purchasing new energy vehicles, among which electric mobility scooters are a relatively common choice. However, most current intelligent controls for electric mobility scooters require triggering corresponding controls, which is inconvenient for users.

[0003] Application content

[0004] In view of the above problems, embodiments of this application are proposed, which provide a vehicle control method, an electric mobility scooter, an electronic device, a computer storage medium, and a computer program product to at least solve the above problems.

[0005] The first aspect of this application provides a vehicle control method for an electric mobility scooter, comprising: when the electric mobility scooter meets the gesture recognition conditions, acquiring a detection image of a target area, wherein the target area includes the area where the driver's hands are active and the area where the driver's upper body is located; determining a gesture recognition result based on the detection image; determining a target vehicle control strategy corresponding to the gesture recognition result; and controlling the electric mobility scooter according to the target vehicle control strategy.

[0006] Optionally, the gesture recognition conditions include at least one of the following: Condition 1: The speed of the electric mobility scooter is less than a speed threshold; Condition 2: The tilt angle of the electric mobility scooter is less than an angle threshold, wherein the tilt angle is used to indicate the angle between the rear wheel axle of the electric mobility scooter and the road surface on which the electric mobility scooter travels; Condition 3: The gesture recognition mode of the electric mobility scooter is enabled.

[0007] Optionally, the process of determining the target vehicle control strategy corresponding to the gesture recognition result may further include: if the detected image includes multiple frames of temporally adjacent images that match the multiple frames of images corresponding to any dynamic gesture, then the vehicle control strategy corresponding to the dynamic gesture is determined as the target vehicle control strategy.

[0008] Optionally, the vehicle control method may further include: if the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then the vehicle control strategy corresponding to the static gesture is determined as the target vehicle control strategy, wherein the difference in acquisition time between the first frame and the last frame in the multiple temporally adjacent frames is greater than or equal to a duration threshold.

[0009] Optionally, the vehicle control method may further include: if the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then displaying a first prompt message, wherein the first prompt message is used to prompt the user to maintain the static gesture for a duration greater than or equal to a duration threshold.

[0010] Optionally, before controlling the electric mobility scooter according to the target vehicle control strategy, the vehicle control method may further include: displaying a second prompt message, wherein the second prompt message is used to prompt the user that the target vehicle control strategy is about to be executed to control the electric mobility scooter.

[0011] Optionally, the vehicle control method may further include: receiving and storing first configuration information input by a user terminal, wherein the first configuration information includes multiple frames of images corresponding to the dynamic gesture and a vehicle control strategy corresponding to the dynamic gesture.

[0012] Optionally, the vehicle control method may further include: receiving and storing second configuration information input by a user terminal, wherein the second configuration information includes an image corresponding to the static gesture and a vehicle control strategy corresponding to the static gesture.

[0013] Optionally, the vehicle control method may further include: if the multi-frame image corresponding to the dynamic gesture included in the first configuration information is the same as the multi-frame image corresponding to the dynamic gesture stored in the electric mobility scooter, then delete the multi-frame image corresponding to the dynamic gesture and the vehicle control strategy corresponding to the dynamic gesture stored in the electric mobility scooter.

[0014] Optionally, the vehicle control method may further include: if the image corresponding to the static gesture included in the second configuration information is the same as the image corresponding to the static gesture stored in the electric mobility scooter, then delete the image corresponding to the static gesture and the vehicle control strategy corresponding to the static gesture stored in the electric mobility scooter.

[0015] Optionally, the process of acquiring the detection image of the target area may further include: when the ambient brightness of the target area is lower than the brightness threshold, turning on an infrared lamp or an LED lamp to supplement the illumination of the target area, and acquiring the detection image of the target area.

[0016] According to another aspect of this application, an electric mobility scooter is provided, comprising: a central camera and a vehicle control unit; the vehicle control unit is configured to, when the electric mobility scooter meets the gesture recognition conditions, control the central camera to acquire a detection image of a target area, determine a gesture recognition result based on the detection image, determine a target vehicle control strategy corresponding to the gesture recognition result, and control the electric mobility scooter according to the target vehicle control strategy, wherein the target area includes the area where the driver's hands move and the area where the driver's upper body is located.

[0017] According to another aspect of this application, an electronic device is provided, the electronic device comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; the memory is used to store at least one executable instruction, wherein the executable instruction, when executed by the processor, causes the processor to perform the vehicle control method described in the first aspect of this application.

[0018] According to another aspect of this application, a computer storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the vehicle control method as described in the first aspect of this application.

[0019] According to another aspect of this application, a computer program product is provided, including computer instructions that instruct a computing device to perform operations corresponding to the vehicle control method described in the first aspect of this application.

[0020] By acquiring detection images of the target area and determining the gesture recognition results using the above technical solution, a corresponding target vehicle control strategy can be determined to control the electric mobility scooter, enabling users to control the electric vehicle more flexibly. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 is a flowchart of the steps of a vehicle control method provided in an embodiment of this application;

[0023] Figure 2 is a structural block diagram of an electric mobility scooter provided in an embodiment of this application;

[0024] Figure 3 is a structural block diagram of an electric mobility scooter provided in another embodiment of this application;

[0025] Figure 4 is a structural block diagram of an electronic device provided in an embodiment of this application. Embodiments of the present invention

[0026] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort are within the scope of protection of the present application.

[0027] Figure 1 is a flowchart illustrating the steps of a vehicle control method provided in Embodiment 1 of this application. As shown in Figure 1, it illustrates a flowchart of a vehicle control method applied to an electric mobility scooter, which can be an electric two-wheeled vehicle. In this embodiment, the method includes the following steps:

[0028] Step 101: When the electric mobility scooter meets the gesture recognition conditions, collect the detection image of the target area.

[0029] Specifically, the gesture recognition conditions include at least one of the following:

[0030] Condition 1: The electric mobility scooter's speed is less than the speed threshold.

[0031] Condition 2: The tilt angle of the electric mobility scooter is less than the angle threshold, where the tilt angle is used to indicate the angle between the rear wheel axle of the electric mobility scooter and the road surface on which the electric mobility scooter travels.

[0032] Condition 3: The gesture recognition mode of the electric mobility scooter is enabled.

[0033] During the operation of an electric mobility scooter, if the speed is high, the driver's attention may be distracted when displaying corresponding gestures, reducing driving safety. Therefore, the gesture recognition condition can include the electric mobility scooter's speed being less than a speed threshold to improve driving safety; the speed threshold could be 25 km / h. When the electric mobility scooter is a two-wheeled vehicle, if the vehicle tilts to the left or right while driving, displaying corresponding gestures is dangerous. Therefore, the gesture recognition condition can include the tilt angle being less than an angle threshold to improve driving safety; the angle threshold could be 10°. Furthermore, the electric mobility scooter can be equipped with a gesture recognition mode switch. Gesture recognition will only occur when the gesture recognition mode is enabled. The gesture recognition mode can be activated by triggering a corresponding control on the electric mobility scooter's dashboard, or by the user triggering an application or control on a control terminal (such as a mobile phone or computer) that communicates with the electric mobility scooter, making the gesture recognition mode activation more flexible.

[0034] When the electric mobility scooter meets the gesture recognition conditions, a detection image of the target area is collected. The detection image can be collected by controlling the central camera of the electric mobility scooter to continuously collect images at a fixed frequency. The target area includes the area where the driver's hands move and the area where the driver's upper body is located.

[0035] Specifically, when acquiring detection images of the target area, if the ambient brightness of the target area is lower than the brightness threshold, infrared lights or LED lights are turned on to supplement the illumination of the target area, and detection images of the target area are acquired. The brightness threshold can be 200 nits. The ambient brightness can be determined by analyzing the image acquired by the central camera on the electric mobility scooter. The ambient brightness is determined based on the brightness of the environment in the image. If the ambient brightness is lower than the brightness threshold, it means that the ambient brightness is too low, which will affect the gesture recognition effect. Therefore, infrared lights or LED lights on the electric mobility scooter can be used to supplement the illumination of the target area. At this time, the detection image of the target area can be acquired, which can improve the shooting effect of the detection image and thus improve the accuracy of gesture recognition.

[0036] Step 102: Determine the gesture recognition result based on the detected image.

[0037] After obtaining the detection image, image recognition can be performed to extract the gesture image from the detection image, and the gesture recognition result can be determined based on the gesture image.

[0038] Step 103: Determine the target vehicle control strategy corresponding to the gesture recognition result.

[0039] After obtaining the gesture recognition results, the corresponding target vehicle control strategy is determined based on the gesture recognition results.

[0040] Specifically, the electric mobility scooter supports the recognition and control of simple dynamic gestures. If the detected image, consisting of multiple temporally adjacent frames, matches the multiple frames corresponding to any dynamic gesture, the vehicle control strategy corresponding to that dynamic gesture is determined as the target vehicle control strategy. The electric mobility scooter can store vehicle control strategies corresponding to simple dynamic gestures. A simple dynamic gesture consists of multiple frames arranged in chronological order. When the gesture recognition result indicates that the detected image includes the first frame of the multiple frames corresponding to the dynamic gesture, subsequent consecutive frames are compared with the multiple frames corresponding to the dynamic gesture. If a match is found, the vehicle control strategy corresponding to that dynamic gesture is determined as the target vehicle control strategy.

[0041] Specifically, after the gesture recognition result indicates that the detection image includes the first frame of the multi-frame image corresponding to the dynamic gesture, subsequent multi-frame images of the same number of frames can be compared with the multi-frame image corresponding to the dynamic gesture. For example, if the multi-frame image corresponding to the dynamic gesture includes 10 frames, then after the gesture recognition result indicates that the detection image includes the first frame of the multi-frame image corresponding to the dynamic gesture, the subsequent 9 frames and the gesture image in the current frame are compared with the multi-frame image corresponding to the dynamic gesture. If the images are identical and the timing is the same, the vehicle control strategy corresponding to the dynamic gesture is determined as the target vehicle control strategy. By comparing images in this way, it is possible to avoid comparing a large number of detection images with the multi-frame image corresponding to the dynamic gesture, thereby improving detection efficiency.

[0042] Specifically, the electric mobility scooter also supports the recognition and control of static gestures. If the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then the vehicle control strategy corresponding to that static gesture will be determined as the target vehicle control strategy.

[0043] The electric mobility scooter can store vehicle control strategies corresponding to static gestures. When the current frame detects an image corresponding to a static gesture, subsequent time-adjacent frames are evaluated. If all of these frames include an image corresponding to a static gesture, the vehicle control strategy corresponding to that static gesture is determined as the target vehicle control strategy. The difference in acquisition time between the first and last frames in the time-adjacent frames must be greater than or equal to a duration threshold. For example, the duration threshold could be 1 second, 2 seconds, etc.

[0044] Specifically, if the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then the first prompt message is displayed. If the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then the user can be prompted to maintain the static gesture until the duration is greater than or equal to a duration threshold. For example, the electric mobility scooter can be controlled to announce "Static gesture detected, please maintain for more than 1 second" via voice, or a prompt can be displayed on the dashboard saying "Static gesture detected, please maintain for more than 1 second," to prompt the user to maintain the static gesture for a duration greater than or equal to the duration threshold, so as to facilitate static gesture recognition.

[0045] Step 104: Control the electric mobility scooter according to the target vehicle control strategy.

[0046] The target vehicle control strategy may include one or more of the following operations: controlling the front camera and / or the center camera to take pictures, opening the seat, turning off the electric mobility scooter, turning the headlights on or off, and / or turning the taillights on or off.

[0047] Specifically, before controlling the electric mobility scooter according to the target vehicle control strategy, the vehicle control process may also include:

[0048] Display a second prompt message. This can be done by having the electric mobility scooter announce "Operation XX is about to be performed" via voice prompts, or by displaying a prompt on the dashboard saying "Operation XX is about to be performed," etc. The second prompt message is used to alert the user that the target vehicle control strategy is about to be executed to control the electric mobility scooter.

[0049] In this embodiment of the application, by acquiring detection images of the target area and then determining the gesture recognition results, the corresponding target vehicle control strategy can be determined to control the electric mobility scooter, enabling users to control the electric vehicle more flexibly.

[0050] In one possible implementation, the vehicle control process may also include:

[0051] Receive and store the first configuration information input by the user and / or receive and store the second configuration information input by the user.

[0052] The first configuration information includes multiple frames of images corresponding to dynamic gestures and the corresponding vehicle control strategy. The second configuration information includes images corresponding to static gestures and the corresponding vehicle control strategy. The first and / or second configuration information can be generated by the user on the user's end, or the user's end can obtain and send the updated configuration to the electric mobility scooter after detecting an update on the service provider's end.

[0053] Specifically, if the multi-frame image corresponding to the dynamic gesture included in the first configuration information is the same as the multi-frame image corresponding to the dynamic gesture stored in the electric mobility scooter, then the multi-frame image corresponding to the dynamic gesture stored in the electric mobility scooter and the vehicle control strategy corresponding to the dynamic gesture are deleted. If the image corresponding to the static gesture included in the second configuration information is the same as the image corresponding to the static gesture stored in the electric mobility scooter, then the image corresponding to the static gesture stored in the electric mobility scooter and the vehicle control strategy corresponding to the static gesture are deleted.

[0054] In electric mobility scooters, only one instance of the same gesture (static or dynamic) can exist. If the gesture included in the received configuration information is the same as the gesture already stored in the electric mobility scooter, the image and control strategy corresponding to the gesture included in the configuration information will overwrite the image and control strategy corresponding to the stored gesture, so as to ensure that the same gesture corresponds to multiple different control strategies.

[0055] It should be noted that although only one of the same gestures can exist in an electric mobility scooter, the control strategy corresponding to each gesture can include multiple vehicle control operations. For example, the control strategy corresponding to the static gesture "OK" can include multiple vehicle control operations such as turning on the headlights, heating the seats, and controlling the forward-facing camera to take pictures.

[0056] In this embodiment of the application, the user can initiate an OTA upgrade by sending first configuration information and / or second configuration information to update the corresponding gestures and control strategies in the electric mobility scooter to adapt to different user needs.

[0057] Figure 2 is a structural block diagram of an electric mobility scooter according to an embodiment of this application. As shown in Figure 2, the electric mobility scooter 200 includes:

[0058] Center camera 201 and vehicle control unit 202.

[0059] The vehicle control unit 202 is used to control the central camera 201 to collect the detection image of the target area when the electric mobility scooter 200 meets the gesture recognition conditions, determine the gesture recognition result based on the detection image, determine the target vehicle control strategy corresponding to the gesture recognition result, and control the electric mobility scooter 200 according to the target vehicle control strategy. The target area includes the area where the driver's hands move and the area where the driver's upper body is located.

[0060] The specific implementation of each step in the vehicle control unit 202 can be found in the corresponding steps and unit descriptions in the foregoing vehicle control method embodiments, and will not be repeated here. Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the devices and modules described above can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0061] Specifically, as shown in Figure 3, the electric mobility scooter 200 may also include: a headlight 203, a taillight 204, a front-facing camera 205, and a seat 206.

[0062] The vehicle control unit 202 can control one or more of the center camera 201, headlights 203, taillights 204, front camera 205, and seat cushion 206 according to the target vehicle control strategy. Specific operations may include controlling the front camera 205 and / or the center camera 201 to take pictures, opening / heating the seat cushion 206, turning the headlights 203 on or off, and / or turning the taillights 204 on or off.

[0063] In this embodiment, the detection image of the target area is acquired by the central camera 201, and then the vehicle control unit 202 can determine the gesture recognition result to determine the corresponding target vehicle control strategy to control the electric mobility scooter, which enables the user to control the electric vehicle more flexibly.

[0064] In this embodiment, an electronic device 40 is provided, as shown in FIG4. The electronic device 40 may include: a processor 41, a communication interface 42, a memory 43, and a communication bus 44. Wherein:

[0065] The processor 41, communication interface 42, and memory 43 communicate with each other via communication bus 44.

[0066] Communication interface 42 is used to communicate with other electronic devices or servers.

[0067] The processor 41 is used to execute the program 45, specifically the relevant steps in the aforementioned vehicle control method embodiment.

[0068] Specifically, program 45 may include program code that includes computer operation instructions.

[0069] Processor 41 may be a CPU, an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The one or more processors included in the smart device may be processors of the same type, such as one or more CPUs; or they may be processors of different types, such as one or more CPUs and one or more ASICs.

[0070] Memory 43 is used to store program 45. Memory 43 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0071] Specifically, program 45 can be used to cause processor 41 to execute the vehicle control method in the foregoing embodiments.

[0072] The specific implementation of each step in program 45 can be found in the corresponding steps and units described in the foregoing vehicle control method embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the devices and modules described above can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0073] The electronic device in this application embodiment can determine the corresponding target vehicle control strategy to control the electric mobility scooter by acquiring the detection image of the target area and then determining the gesture recognition result, thereby enabling the user to control the electric vehicle more flexibly.

[0074] In this embodiment, a computer storage medium is provided to store instructions for causing a machine to execute the vehicle control method described herein. Specifically, a system or apparatus equipped with a storage medium storing software program code that implements the functions of any of the embodiments described above, and enabling the computer (or CPU or MPU) of the system or apparatus to read and execute the program code stored in the storage medium.

[0075] In this case, the program code read from the storage medium can itself implement the function of any of the above embodiments, and therefore the program code and the storage medium storing the program code constitute part of this application.

[0076] Storage media embodiments for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0077] It should be noted that, depending on the implementation needs, the various components / steps described in the embodiments of this application can be broken down into more components / steps, or two or more components / steps or parts of the operation of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of this application.

[0078] The methods described in the embodiments of this application can be implemented in hardware, firmware, or as software or computer code that can be stored in a recording medium (such as a CD-ROM, RAM, floppy disk, hard disk, or magneto-optical disk), or as computer code downloaded over a network that is originally stored in a remote recording medium or a non-transitory machine-readable medium and will be stored in a local recording medium. Thus, the methods described herein can be processed by software stored on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It is understood that the computer, processor, microprocessor controller, or programmable hardware includes storage components (e.g., RAM, ROM, flash memory, etc.) capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods described herein. Furthermore, when a general-purpose computer accesses the code used to implement the methods shown herein, the execution of the code transforms the general-purpose computer into a dedicated computer for performing the methods shown herein.

[0079] It should be noted that in the description of this application, the terms "first" and "second" are used only for convenience in describing different components or names, and should not be construed as indicating or implying a sequential relationship, relative importance, or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features.

[0080] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0081] It should be noted that although specific embodiments of this application have been described in detail with reference to the accompanying drawings, this should not be construed as limiting the scope of protection of this application. Various modifications and variations that can be made by those skilled in the art without inventive effort within the scope described in the claims still fall within the scope of protection of this application.

[0082] The examples of the embodiments in this application are intended to concisely illustrate the technical features of the embodiments in this application, so that those skilled in the art can intuitively understand the technical features of the embodiments in this application, and are not intended to be improper limitations on the embodiments in this application.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A vehicle control method applied to an electric mobility scooter, characterized in that, The method includes: When the electric mobility scooter meets the gesture recognition conditions, a detection image of the target area is acquired, wherein the target area includes the area where the driver's hands move and the area where the driver's upper body is located; The gesture recognition result is determined based on the detected image; Determine the target vehicle control strategy corresponding to the gesture recognition result; The electric mobility scooter is controlled according to the target vehicle control strategy.

2. The method according to claim 1, characterized in that, The gesture recognition conditions include at least one of the following: Condition 1: The electric mobility scooter's speed is less than a speed threshold; Condition 2: The tilt angle of the electric mobility scooter is less than the angle threshold, wherein the tilt angle is used to indicate the angle between the rear wheel axle of the electric mobility scooter and the road surface on which the electric mobility scooter travels; Condition 3: The gesture recognition mode of the electric mobility scooter is enabled.

3. The method according to claim 1, characterized in that, The step of determining the target vehicle control strategy corresponding to the gesture recognition result includes: If the detected image includes multiple temporally adjacent frames that match any of the multiple frames corresponding to a dynamic gesture, then the vehicle control strategy corresponding to that dynamic gesture is determined as the target vehicle control strategy.

4. The method according to claim 1, characterized in that, The method further includes: If the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then the vehicle control strategy corresponding to the static gesture is determined as the target vehicle control strategy, wherein the difference in acquisition time between the first and last frames in the multiple temporally adjacent frames is greater than or equal to a duration threshold.

5. The method according to claim 4, characterized in that, The method further includes: If the detected images, including multiple temporally adjacent frames, all match the image corresponding to the same static gesture, then a first prompt message is displayed, wherein the first prompt message is used to prompt the user to maintain the static gesture for a duration greater than or equal to a duration threshold.

6. The method according to claim 1, characterized in that, Before controlling the electric mobility scooter according to the target vehicle control strategy, the method further includes: A second prompt message is displayed, which is used to prompt the user that the target vehicle control strategy will be executed to control the electric mobility scooter.

7. The method according to claim 3, characterized in that, The method further includes: Receive and store first configuration information input by the user terminal, wherein the first configuration information includes multiple frames of images corresponding to the dynamic gesture and a vehicle control strategy corresponding to the dynamic gesture.

8. The method according to claim 4, characterized in that, The method further includes: The system receives and stores second configuration information input by the user, wherein the second configuration information includes the image corresponding to the static gesture and the vehicle control strategy corresponding to the static gesture.

9. The method according to claim 7, characterized in that, The method further includes: If the multi-frame image corresponding to the dynamic gesture included in the first configuration information is the same as the multi-frame image corresponding to the dynamic gesture stored in the electric mobility scooter, then delete the multi-frame image corresponding to the dynamic gesture and the vehicle control strategy corresponding to the dynamic gesture stored in the electric mobility scooter.

10. The method according to claim 8, characterized in that, The method further includes: If the image corresponding to the static gesture included in the second configuration information is the same as the image corresponding to the static gesture stored in the electric mobility scooter, then delete the image corresponding to the static gesture and the vehicle control strategy corresponding to the static gesture stored in the electric mobility scooter.

11. The method according to any one of claims 1-10, characterized in that, The detected image of the target area includes: When the ambient brightness of the target area is lower than the brightness threshold, infrared lights or LED lights are turned on to supplement the target area, and a detection image of the target area is acquired.

12. An electric mobility scooter, characterized in that, include: Center-mounted camera and vehicle control unit; The vehicle control unit is used to control the central camera to collect detection images of the target area when the electric mobility scooter meets the gesture recognition conditions, determine the gesture recognition result based on the detection image, determine the target vehicle control strategy corresponding to the gesture recognition result, and control the electric mobility scooter according to the target vehicle control strategy. The target area includes the area where the driver's hands move and the area where the driver's upper body is located.

13. An electronic device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform an operation corresponding to the method as described in any one of claims 1-10.

14. A computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of claims 1-10.

15. A computer program product, characterized in that, Includes computer instructions that instruct a computing device to perform an operation corresponding to the method as described in any one of claims 1-10.

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