Method and device for obtaining driving experience feeling of all-terrain vehicle and electronic equipment

Abstract

The embodiment of the invention provides an all-terrain vehicle driving experience feeling obtaining method and device and electronic equipment, and relates to the technical field of data processing. The method comprises the steps that physiological data and vehicle data when a user drives the all-terrain vehicle are obtained, the physiological data are used for representing the physiological state of the user, and the vehicle data are used for representing the state of the vehicle; according to the physiological data and the vehicle data, a first evaluation result is obtained, and the first evaluation result is used for representing the determined user driving experience feeling. In this way, the all-terrain vehicle driving experience feeling of the user can be rapidly and accurately obtained, and the experience feeling is not limited by the geographic position and the initiative of participants.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and more specifically, to a method, device and electronic equipment for obtaining driving experience of an all-terrain vehicle. Background Art

[0002] Due to various needs, it is necessary to collect users' all-terrain vehicle (UTV) driving experience. Currently, the all-terrain vehicle driving experience feedback from various people is generally collected through paper questionnaires. However, the paper questionnaire method is time-consuming to process and analyze data, and may be limited by the geographical location and the initiative of the participants. Therefore, how to provide a relatively fast method that is not limited by the geographical location and the initiative of the participants to obtain people's all-terrain vehicle driving experience is a technical problem that needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide a method, device, electronic device and readable storage medium for obtaining an all-terrain vehicle driving experience, which can obtain the user's all-terrain vehicle driving experience relatively quickly and accurately, and is not limited by the geographical location and the initiative of the participants.

[0004] The embodiments of the present application can be implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for obtaining a driving experience of an all-terrain vehicle, the method comprising:

[0006] Obtaining physiological data and vehicle data of a user when driving an all-terrain vehicle, wherein the physiological data is used to represent a physiological state of the user, and the vehicle data is used to represent a state of the vehicle;

[0007] A first evaluation result is obtained based on the physiological data and the vehicle data, wherein the first evaluation result is used to represent a determined user driving experience.

[0008] In a second aspect, an embodiment of the present application provides a device for obtaining a driving experience of an all-terrain vehicle, the device comprising:

[0009] A data acquisition module, used to obtain physiological data and vehicle data of a user when driving an all-terrain vehicle, wherein the physiological data is used to represent the physiological state of the user, and the vehicle data is used to represent the state of the vehicle;

[0010] The processing module is used to obtain a first evaluation result based on the physiological data and the vehicle data, wherein the first evaluation result is used to represent the determined user driving experience.

[0011] In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor can execute the machine executable instructions to implement the method for obtaining an all-terrain vehicle driving experience as described in the aforementioned embodiment.

[0012] In a fourth aspect, an embodiment of the present application provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for obtaining an all-terrain vehicle driving experience as described in the aforementioned embodiment.

[0013] The method, device, electronic device and readable storage medium for obtaining the driving experience of an all-terrain vehicle provided in the embodiments of the present application first obtain the physiological data and vehicle data of the user when driving the all-terrain vehicle, and then obtain a first evaluation result based on the above physiological data and vehicle data. The above physiological data is used to represent the physiological state of the user, and the above vehicle data is used to represent the vehicle state. The first evaluation result is used to represent the determined driving experience of the user. In this way, the user's driving experience is obtained by directly obtaining the physiological data of the user and the vehicle data of the vehicle. Compared with the questionnaire method, more objective and accurate experience data can be obtained, and the experience is obtained quickly; since the user does not need to actively feedback the experience, it will not be limited by the geographical location and the initiative of the participants; the above method is convenient for obtaining a large amount of user experience data. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A block diagram of an electronic device provided in an embodiment of the present application;

[0016] Figure 2 One of the flow charts of the method for obtaining the driving experience of an all-terrain vehicle provided in an embodiment of the present application;

[0017] Figure 3 A second flow chart of a method for obtaining an all-terrain vehicle driving experience provided in an embodiment of the present application;

[0018] Figure 4 A third flow chart of a method for obtaining an all-terrain vehicle driving experience provided in an embodiment of the present application;

[0019] Figure 5A fourth flowchart of a method for obtaining an all-terrain vehicle driving experience provided in an embodiment of the present application;

[0020] Figure 6 A block diagram of a device for obtaining an all-terrain vehicle driving experience provided in an embodiment of the present application.

[0021] Icon: 100 - electronic device; 110 - memory; 120 - processor; 130 - communication unit; 200 - device for obtaining driving experience of an all-terrain vehicle; 210 - data obtaining module; 220 - processing module. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0024] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0025] The inventor of the present application has found through research that the current all-terrain vehicle (UTV) experience adjustment is performed in the following manner.

[0026] Online questionnaires: Send questionnaires via email, social media, or specialized survey platforms (such as SurveyMonkey, GoogleForms) to collect user feedback on UTV performance, comfort, safety, and driving experience. However, this method may have problems with low response rates or unrepresentative samples.

[0027] Paper questionnaire: Distribute questionnaires at UTV sales points, exhibitions or experience events to obtain on-site feedback. This method takes time to process and analyze data and may be limited by geographical location and the initiative of participants.

[0028] User interviews: In-depth face-to-face communication with UTV users to understand their experience, satisfaction and suggestions for improvement. This method is time-consuming and difficult to cover a wide range of user groups.

[0029] Expert interviews: Interview industry experts or technicians to understand their views on UTV design, performance, market trends, and driving experience. The experience obtained in this way may be biased by expert opinions or out of touch with actual user experience.

[0030] Social media monitoring: Analyze user comments and feedback on platforms such as Weibo, WeChat, and Douyin to understand user evaluation and discussion of UTV. In this way, the comment data may be incomplete and have emotional bias.

[0031] Forums and communities: Collect opinions and suggestions in professional forums or car owner communities to obtain users' real experience and evaluation. In this method, the sample may be too limited and may not represent the entire user group.

[0032] Test drive experience: Invite users to test drive the UTV, directly observe and record their feedback and feelings in actual operation. This method may not fully capture the problems in long-term use.

[0033] Experience activities: Organize special UTV experience activities to observe the reactions of participants and collect their opinions and suggestions. However, the feedback from participants may be affected by the activity environment and time constraints.

[0034] In response to the above situation, the embodiments of the present application provide a method, device, electronic device and readable storage medium for obtaining an all-terrain vehicle driving experience, which can relatively quickly and accurately obtain the user's all-terrain vehicle driving experience, and is not limited by the geographical location and the initiative of the participants. It covers a wide range of people and is also convenient for capturing problems in long-term use.

[0035] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0036] Please refer to Figure 1 , Figure 1 A block diagram of an electronic device 100 provided in an embodiment of the present application. The electronic device 100 may be, but is not limited to, a computer, a server, etc. The electronic device 100 includes a memory 110, a processor 120, and a communication unit 130. The memory 110, the processor 120, and the communication unit 130 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, these components may be electrically connected to each other via one or more communication buses or signal lines.

[0037] The memory 110 is used to store programs or data. The memory 110 may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc.

[0038] The processor 120 is used to read / write data or programs stored in the memory 110 and execute corresponding functions. For example, the memory 110 stores an all-terrain vehicle driving experience acquisition device 200, and the all-terrain vehicle driving experience acquisition device 200 includes at least one software function module that can be stored in the memory 110 in the form of software or firmware. The processor 120 executes various functional applications and data processing by running software programs and modules stored in the memory 110, such as the all-terrain vehicle driving experience acquisition device 200 in the embodiment of the present application, that is, realizing the all-terrain vehicle driving experience acquisition method in the embodiment of the present application.

[0039] The communication unit 130 is used to establish a communication connection between the electronic device 100 and other communication terminals through a network, and to send and receive data through the network.

[0040] It should be understood that Figure 1 The structure shown is only a schematic diagram of the structure of the electronic device 100. The electronic device 100 may also include Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown. Figure 1Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0041] Please refer to Figure 2 , Figure 2 One of the flow diagrams of the method for obtaining the driving experience of an all-terrain vehicle provided in the embodiment of the present application. The method is applied to the above-mentioned electronic device. The specific process of the method for obtaining the driving experience of an all-terrain vehicle is described in detail below. In this embodiment, the method may include steps S110 to S120.

[0042] Step S110, obtaining physiological data and vehicle data of the user when driving the all-terrain vehicle.

[0043] Step S120, obtaining a first evaluation result according to the physiological data and the vehicle data.

[0044] In this embodiment, various sensors can be used to obtain the physiological data and vehicle data of the user when driving an all-terrain vehicle. The physiological data is used to indicate the physiological state of the user, and the vehicle data is used to indicate the vehicle state. The physiological data and vehicle data can be determined in combination with actual needs, and are not specifically limited here. Optionally, the physiological data and vehicle data can be data collected in real time, or historical data after the user completes driving, which can be determined in combination with actual needs.

[0045] After obtaining the physiological data and vehicle data, a model or other data analysis method can be used to analyze the physiological data and vehicle data to obtain a first evaluation result corresponding to the physiological data and vehicle data. The first evaluation result is used to represent the determined user driving experience, that is, the experience corresponding to the user's physiological data and the vehicle data.

[0046] In this way, the user's driving experience is obtained by directly obtaining the user's physiological data and the vehicle data of the vehicle. Compared with the questionnaire method, more objective and accurate experience data can be obtained, and the experience is obtained quickly. Since the user does not need to actively feedback the experience, it will not be limited by the geographical location and the initiative of the participants. The above method makes it easy to obtain a large amount of user experience data.

[0047] As a possible implementation manner, the physiological data can be obtained through a helmet, that is, the helmet includes a sensor for obtaining the physiological data, and the physiological data can be obtained using the sensor in the helmet.

[0048] It can ensure that the user wears the helmet correctly, and then use the helmet to collect the physiological data. The physiological data may include brain wave signals. In this case, after ensuring that the user wears the helmet correctly, a preliminary brain wave calibration can be performed, and then the brain wave signal can be collected.

[0049] EEG signal calibration can be performed in the following ways. First, let the player wear the smart helmet in a quiet and comfortable environment and stay relaxed; the EEG sensor in the helmet starts to collect signals for a period of time to obtain the player's EEG baseline in a calm state. After that, present some simple visual or auditory stimulation to the player, such as flashing lights, soft sounds, etc.; the helmet continues to collect EEG signals and observe the player's EEG response to these stimulations; repeat different types of stimulation to obtain a more comprehensive EEG response pattern, so as to complete the response collection under specific stimulation. After that, adjust the signal acquisition parameters according to the collected baseline and stimulus response data. For example, adjust the gain of the signal amplifier, the parameters of the filter, etc. to ensure that the collected EEG signal is clear and stable.

[0050] Optionally, data analysis software may be used to perform real-time analysis on the acquired signals so as to adjust the calibration parameters in a timely manner.

[0051] Before collecting physiological data and vehicle data, the vehicle can be started and it can be ensured that various sensors are working properly and have been calibrated. Then, the sensors can be used to monitor and record various data in real time, so as to obtain the physiological data and vehicle data of the user when driving the all-terrain vehicle through the sensors. The sampling frequency and sensitivity of each sensor can be set in advance as needed. Optionally, in the case where the electronic device and the all-terrain vehicle are not the same device, the electronic device can be used as a central data processing system to process the data sent by each all-terrain vehicle to obtain the user's driving experience. In the case where the helmet is used to obtain physiological data and the vehicle's sensors are used to obtain vehicle data, the data of the helmet and vehicle sensors can be synchronized to the electronic device wirelessly or wiredly.

[0052] To ensure that the timestamps of all data streams are consistent, a synchronous clock source can be used. In other words, a high-precision synchronous clock source can be introduced into the smart helmet and related data acquisition equipment. For example, the Global Positioning System (GPS) clock or the Network Time Protocol (NTP) server can be used to obtain accurate time information. When all sensors are started, they obtain the current time from this synchronous clock source and generate a timestamp based on this. This ensures that the time base of each sensor is consistent, which facilitates subsequent correlation analysis, that is, obtaining physiological data and vehicle data corresponding to the same time period.

[0053] Optionally, the vehicle data includes at least one of vehicle speed, acceleration, vibration frequency, and steering angle; and / or the physiological data includes at least one of a brain wave signal, a heart rate signal, and a skin electrical response signal.

[0054] In this embodiment, the physiological data and vehicle data used to obtain a first evaluation result may correspond to only one moment or to multiple consecutive moments; that is, the physiological data may include physiological information at one moment or at multiple moments; the vehicle data may include vehicle information at only one moment or at multiple moments, which can be determined based on actual needs.

[0055] When the physiological data and the vehicle data are obtained, the physiological data and the vehicle data may be preprocessed by noise filtering, data cleaning, normalization, etc., and then analyzed to obtain the first evaluation result.

[0056] Among them, noise filtering is used to remove noise and interference in the signal. For high-frequency noise, a low-pass filter can be used to remove it. The low-pass filter allows signals below a specific cutoff frequency to pass through, while suppressing signals above the cutoff frequency. The appropriate cutoff frequency can be selected based on the characteristics of the signal and the frequency range of the noise. For low-frequency interference, such as DC offset or slowly changing baseline drift, a high-pass filter can be used to remove it. The high-pass filter allows signals above a specific cutoff frequency to pass through, while suppressing signals below the cutoff frequency. Similarly, the appropriate cutoff frequency can be selected based on the characteristics of the signal and the frequency range of the interference. If there is interference in a specific frequency range in the signal, a bandpass filter can be used. The bandpass filter allows signals within a specific frequency range to pass through, while suppressing signals of other frequencies. The frequency range of the interference can be determined first, and then the appropriate bandpass filter parameters can be selected. For example, if it is known that the noise is mainly in a specific frequency band, a bandpass filter can be designed to remove the noise in that frequency range. In this way, the accuracy of the data can be ensured through noise filtering.

[0057] Data cleaning can process missing values, outliers, etc. to ensure data quality.

[0058] In the case where the physiological data includes brain wave signals, heart rate signals and skin galvanic response signals, important features such as attention level, stress index, emotional state, etc. can be extracted from the preprocessed physiological data. Among them, feature extraction can be performed by methods such as t-test, variance analysis, cluster analysis, etc. In this way, physiological signal features can be extracted from the physiological data.

[0059] When both the physiological data and the vehicle data include information of multiple continuous moments, that is, when step S110 obtains the physiological data and vehicle data of the user within a preset time period, the vehicle state and vehicle state changes can be extracted from the processed vehicle data. For example, when the vehicle data includes vehicle speed, acceleration, vibration frequency, and steering angle, the vehicle speed and vehicle speed changes, acceleration and acceleration changes, vibration frequency and vibration frequency changes, steering angle and steering angle changes can be extracted from the preprocessed vehicle data. It can be understood that if both the physiological data and the vehicle data only include information of one continuous moment, only the vehicle speed, acceleration, vibration frequency, and steering angle can be extracted from the vehicle data.

[0060] Afterwards, the first evaluation result can be obtained according to the above characteristics.

[0061] Optionally, as a possible implementation method, a pre-trained experience analysis model is stored in the electronic device. The experience analysis model is trained based on sample data and sample evaluation results, and the sample data includes sample physiological data and sample vehicle data. It can be understood that the sample evaluation result is the experience of the user corresponding to the sample data when driving an all-terrain vehicle, and the sample evaluation result is the user's subjective evaluation, which can be obtained through questionnaire feedback and the like. Machine learning algorithms, such as support vector machines (SVM), random forests, etc., can be used to train the above-mentioned sample data to obtain the experience analysis model.

[0062] The above-mentioned experience analysis model can be used to obtain the first evaluation result based on the physiological data and vehicle data. Optionally, the above-mentioned data preprocessing and feature extraction processing can be completed within the experience analysis model. In this way, the experience analysis model can be used to obtain the user's experience of driving an all-terrain vehicle. Optionally, the first evaluation result is expressed in experience levels, and the experience levels include excellent, good, average, poor, etc. The output result of the experience analysis model is an experience level, which is the first evaluation result.

[0063] As another possible implementation, the extracted features may be mapped to corresponding scores, and then combined with the preset weights corresponding to the various features, a comprehensive score may be obtained by weighted summation. The sum of the preset weights corresponding to the various features is 1, and the preset weights corresponding to the various features may be determined based on expert experience or by a data analysis method. Optionally, the comprehensive score that can be directly calculated may be used as the first evaluation result. Alternatively, different score ranges and experience levels corresponding to different score ranges may be preset, and the experience level corresponding to the score range in which the obtained comprehensive score is located may be used as the first evaluation result.

[0064] The above-mentioned first evaluation result can be obtained based on physiological data and vehicle data corresponding to only one moment, or can be obtained based on physiological data and vehicle data corresponding to multiple consecutive moments. When the above-mentioned first evaluation result is obtained based on physiological data and vehicle data corresponding to multiple consecutive moments, correspondingly, when obtaining the data, the physiological data and vehicle data of the user within a preset time period are obtained, and the length of the preset time period can be determined in combination with actual needs. Optionally, in order to ensure the timeliness of the data, the starting point of the preset time period is a historical moment and the end point is the current moment, so that it is convenient to obtain the user experience in real time. Correspondingly, when the physiological data and vehicle data correspond to only one moment, the moment can be the current moment. In this way, by including the information of the current moment in the physiological data and vehicle data, it is convenient to obtain the user experience in real time.

[0065] Please refer to Figure 3 , Figure 3 The second flowchart of the method for obtaining the driving experience of an all-terrain vehicle provided in the embodiment of the present application is as follows. In this embodiment, the physiological data includes current physiological information, and the vehicle data includes current vehicle information. In this case, the method may further include steps S131 to S132.

[0066] Step S131, obtaining target adjustment suggestions for the all-terrain vehicle according to the first evaluation result, physiological data and vehicle data.

[0067] Step S132: displaying the target adjustment suggestion using a display device.

[0068] In this embodiment, the target adjustment corresponding to the all-terrain vehicle can be obtained in any manner based on the first evaluation result, physiological data and vehicle data. For example, different conditions and adjustment suggestions corresponding to each condition are pre-saved, and the conditions include requirements for the evaluation results, physiological data and vehicle data. The target condition satisfied by the first evaluation result, physiological data and vehicle data can be determined based on the different saved conditions, the first evaluation result, physiological data and vehicle data, and the target condition is one of the multiple conditions saved in advance. Afterwards, the adjustment suggestion corresponding to the target condition is used as the target adjustment suggestion. The target adjustment suggestion can be used to instruct adjustment of the suspension system, change of driving mode, etc.

[0069] Afterwards, the target adjustment suggestion may be displayed on a display device (e.g., a vehicle dashboard, or a mobile device, or a dedicated display, etc.), thereby presenting the target adjustment suggestion to the user. The user may control the vehicle according to the target adjustment suggestion, or may not choose to control the vehicle according to the target adjustment suggestion.

[0070] As a possible implementation, Figure 4 As shown, after step S132, the method may further include step S133.

[0071] Step S133: Control the all-terrain vehicle according to the target adjustment suggestion to improve driving comfort and safety.

[0072] In this embodiment, after the target adjustment suggestion is realized, the all-terrain vehicle can be automatically adjusted directly according to the target adjustment, thereby improving driving comfort and safety.

[0073] In this embodiment, the above process can be repeated until the driving is finished.

[0074] All data collected during the entire driving process, corresponding user information, environmental information, and corresponding first evaluation results can be stored in the cloud or local database. Optionally, encryption means can be used to ensure encrypted storage and transmission of data to protect user privacy. Among them, a symmetric encryption algorithm, such as the AES (Advanced Encryption Standard) algorithm, can be used to encrypt and store files. Alternatively, data encryption can be implemented using Transparent Data Encryption (TDE), and many database management systems provide transparent data encryption functions. Alternatively, encryption is performed on the client before uploading the data to the cloud storage service.

[0075] Long-term analysis can be performed on the stored data to identify usage patterns, common problems, and directions for improvement. During the analysis process, the source of the data to be analyzed can be identified, that is, customer information, environmental information (for example, road conditions, weather conditions during driving, etc.), driving time, etc.; and time series analysis can be performed to analyze the trend of data changes over time, understand user behavior and the time pattern of system use, so as to determine the iterative improvement direction of the ATV, and then optimize the functional design and user interface of the ATV system. Error log analysis can also be performed to detect system error logs, identify frequently occurring error types and error scenarios, and then deal with the problems as mentioned above.

[0076] A detailed experience report can also be generated based on the large amount of stored data and provided to the R&D team for improving product design and optimizing experience. The experience report may include the collected physiological data, vehicle data, the corresponding first evaluation results, and an explanation of the evaluation results.

[0077] Please refer to Figure 5 , Figure 5 The second flowchart of the method for obtaining the driving experience of an all-terrain vehicle provided in the embodiment of the present application is as follows. In the present embodiment, when the first evaluation result is obtained by using the experience analysis model, the method may further include steps S141 to S143.

[0078] Step S141, obtaining at least some of the second evaluation results corresponding to each of the first evaluation results.

[0079] Step S142: judging whether the experience analysis model needs to be optimized according to the corresponding first experience evaluation result and the second experience evaluation result obtained.

[0080] Step S143: If it is determined to be necessary, the experience analysis model is optimized and updated based on the obtained corresponding second experience evaluation result, physiological data and vehicle data.

[0081] In this embodiment, during an evaluation process, when the physiological data includes current physiological information and the vehicle data includes current vehicle information, the real-time experience data (i.e., the aforementioned physiological data and physiological data) and the first evaluation result can be displayed on a vehicle dashboard, a mobile device, or a dedicated display. After the first evaluation result is displayed to the user, a second evaluation result input by the user can also be received. That is, a subjective evaluation input by the user can be received, and the second evaluation result is an evaluation result fed back by the user. In this way, after multiple evaluations, the second evaluation results corresponding to at least a portion of the first evaluation results can be obtained.

[0082] Appropriate performance indicators can be defined to evaluate the performance of the experience analysis model, such as accuracy, recall rate, F1 value, etc. The performance of the experience analysis model can be determined based on the corresponding first experience evaluation results and the second experience evaluation results obtained. By regularly monitoring the indicators, the performance changes of the experience analysis model can be understood, and then it can be determined whether the experience model needs to be optimized. For example, if the accuracy of the experience analysis model is determined to be lower than the threshold based on the corresponding first evaluation results and the second evaluation results, it can be determined that the experience analysis model needs to be optimized. In the case where it is determined that optimization is required, the corresponding second experience evaluation results, physiological data and vehicle data can be used as new sample data, and then the experience analysis model can be optimized and updated. In this way, the accuracy of the first evaluation result obtained can be ensured as much as possible.

[0083] In this embodiment, when giving feedback, the user may also provide feedback on the system functions, whether the vehicle's feedback output in response to operations is timely, etc., so as to facilitate subsequent function optimization based on user feedback.

[0084] In this embodiment, the user's brain waves and other physiological data and vehicle data can be directly obtained to obtain the first evaluation result used to represent the experience. Compared with the traditional questionnaire and questionnaire method, this method can obtain more objective and accurate experience data and experience, avoiding subjective bias in questionnaire surveys and interviews. In addition, after obtaining the first evaluation result in real time, the vehicle settings can be optimized immediately to improve the user's experience quality, rather than analyzing and improving it afterwards; and because personalized adjustment suggestions are provided based on individual physiological data and vehicle data, the adjustment suggestions are more in line with the actual feelings of each user; at the same time, the vehicle can also be dynamically adjusted according to the adjustment suggestions determined in real time, which can improve the comfort and safety during driving.

[0085] In order to execute the corresponding steps in the above embodiments and various possible methods, an implementation method of an all-terrain vehicle driving experience acquisition device 200 is provided below. Optionally, the all-terrain vehicle driving experience acquisition device can adopt the above Figure 1 The device structure of the electronic device 100 shown. Further, Figure 6 A schematic block diagram of an all-terrain vehicle driving experience acquisition device 200 provided in an embodiment of the present application. It should be noted that the basic principle and technical effects of the all-terrain vehicle driving experience acquisition device 200 provided in this embodiment are the same as those of the above-mentioned embodiments. For the sake of brief description, for parts not mentioned in this embodiment, reference may be made to the corresponding contents in the above-mentioned embodiments. In this embodiment, the all-terrain vehicle driving experience acquisition device 200 may include: a data acquisition module 210 and a processing module 220.

[0086] The data acquisition module 210 is used to obtain the physiological data and vehicle data of the user when driving the all-terrain vehicle, wherein the physiological data is used to represent the physiological state of the user, and the vehicle data is used to represent the vehicle state.

[0087] The processing module 220 is used to obtain a first evaluation result based on the physiological data and the vehicle data, wherein the first evaluation result is used to represent the determined user driving experience.

[0088] Optionally, in this embodiment, the processing module 220 is specifically used to: use a pre-trained experience analysis model to obtain the first evaluation result based on the physiological data and the vehicle data. The experience analysis model is trained based on sample data and sample evaluation results, and the sample data includes sample physiological data and sample vehicle data.

[0089] Optionally, in this embodiment, the processing module 220 is also used to: obtain at least part of the second evaluation results corresponding to each of the first evaluation results, wherein the second evaluation results are evaluation results fed back by users; determine whether it is necessary to optimize the experience analysis model based on the corresponding first experience evaluation results and the second experience evaluation results; if it is determined to be necessary, optimize and update the experience analysis model based on the corresponding second experience evaluation results, physiological data and vehicle data.

[0090] Optionally, in this embodiment, the physiological data includes current physiological information, and the vehicle data includes current vehicle information. The processing module 220 is also used to: obtain target adjustment suggestions for the all-terrain vehicle based on the first evaluation result, physiological data and vehicle data; and display the target adjustment suggestions using a display device.

[0091] Optionally, in this embodiment, the processing module 220 is further configured to: control the all-terrain vehicle according to the target adjustment suggestion to improve driving comfort and safety.

[0092] Optionally, the above modules can be stored in the form of software or firmware. Figure 1 The memory 110 shown in the figure may be fixed in the operating system (OS) of the electronic device 100 and may be Figure 1 Meanwhile, the data and program codes required for executing the above modules may be stored in the memory 110.

[0093] An embodiment of the present application also provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for obtaining the driving experience of an all-terrain vehicle is implemented.

[0094] In summary, the embodiments of the present application provide a method, device, electronic device, and readable storage medium for obtaining driving experience of an all-terrain vehicle. First, the physiological data and vehicle data of the user when driving the all-terrain vehicle are obtained, and then a first evaluation result is obtained based on the above physiological data and vehicle data. The above physiological data is used to represent the physiological state of the user, and the above vehicle data is used to represent the vehicle state. The first evaluation result is used to represent the determined driving experience of the user. In this way, the user's driving experience is obtained by directly obtaining the physiological data of the user and the vehicle data of the vehicle. Compared with the questionnaire method, more objective and accurate experience data can be obtained, and the experience is obtained quickly; since the user does not need to actively feedback the experience, it will not be limited by the geographical location and the initiative of the participants; the above method is convenient for obtaining a large amount of user experience data.

[0095] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0096] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0097] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0098] The above description is only an optional embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for obtaining an all-terrain vehicle driving experience, characterized in that: The method comprises: Obtaining physiological data and vehicle data of a user when driving an all-terrain vehicle, wherein the physiological data is used to represent a physiological state of the user, and the vehicle data is used to represent a state of the vehicle; A first evaluation result is obtained based on the physiological data and the vehicle data, wherein the first evaluation result is used to represent a determined user driving experience.

2. The method according to claim 1, characterized in that The step of obtaining a first evaluation result according to the physiological data and the vehicle data includes: The first evaluation result is obtained based on the physiological data and the vehicle data using a pre-trained experience analysis model, wherein the experience analysis model is trained based on sample data and sample evaluation results, and the sample data includes sample physiological data and sample vehicle data.

3. The method according to claim 2, characterized in that The method further comprises: Obtaining second evaluation results corresponding to at least some of the first evaluation results, wherein the second evaluation results are evaluation results fed back by users; According to the obtained corresponding first experience evaluation result and second experience evaluation result, determining whether the experience analysis model needs to be optimized; If it is determined to be necessary, the experience analysis model is optimized and updated based on the corresponding second experience evaluation result, physiological data and vehicle data obtained.

4. The method according to claim 1, characterized in that: The obtaining of physiological data and vehicle data of the user when driving the all-terrain vehicle includes: The physiological data and vehicle data of the user within a preset time period are obtained, wherein the starting point of the preset time period is a historical moment and the end point is a current moment, and the first evaluation result is obtained based on the physiological data, the vehicle state of the all-terrain vehicle at each moment, and the vehicle state change.

5. The method according to claim 1, characterized in that The physiological data includes current physiological information, the vehicle data includes current vehicle information, and the method further includes: Obtaining target adjustment suggestions for the all-terrain vehicle based on the first evaluation result, the physiological data, and the vehicle data; The target adjustment suggestion is displayed using a display device.

6. The method according to claim 5, characterized in that The step of obtaining a target adjustment suggestion for the all-terrain vehicle based on the first evaluation result, the physiological data, and the vehicle data includes: Determining a target condition satisfied by the first evaluation result, the physiological data, and the vehicle data, wherein the target condition is one of a plurality of pre-saved conditions; The adjustment suggestion corresponding to the target condition saved in advance is used as the target adjustment suggestion.

7. The method according to claim 5, characterized in that The method further comprises: The all-terrain vehicle is controlled according to the target adjustment suggestions to improve driving comfort and safety.

8. The method according to any one of claims 1 to 7, characterized in that: The vehicle data includes at least one of vehicle speed, acceleration, vibration frequency, and steering angle; and / or, the physiological data includes at least one of brain wave signals, heart rate signals, and skin electrical response signals; and / or, the physiological data is obtained through a helmet.

9. A device for obtaining driving experience of an all-terrain vehicle, characterized in that: The device comprises: A data acquisition module, used to obtain physiological data and vehicle data of a user when driving an all-terrain vehicle, wherein the physiological data is used to represent the physiological state of the user, and the vehicle data is used to represent the state of the vehicle; The processing module is used to obtain a first evaluation result based on the physiological data and the vehicle data, wherein the first evaluation result is used to represent the determined user driving experience.

10. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor can execute the machine executable instructions to implement the method for obtaining the driving experience of an all-terrain vehicle as described in any one of claims 1-8.

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