Display parameter adjustment method and apparatus, computer device, and storage medium

Abstract

The application provides a display parameter adjustment method and device, computer equipment and a storage medium. The application method comprises collecting physiological data of a target user; when the physiological data is abnormal, adjusting visual display parameters of a display picture based on a preset car sickness relief strategy. In the foregoing manner, the application collects physiological data of a target user through a biological sensor, monitors car sickness symptoms of the target user through the physiological data, and improves the identification accuracy and efficiency of car sickness symptoms. According to the car sickness relief strategy, the visual display parameters of the display picture are adjusted to provide a more comfortable visual environment, better adjust the visual load of the eyes, relieve the car sickness symptoms of the target user, and improve the car sickness relief effect. The car sickness relief is achieved through visual adjustment, which can achieve instant effect of car sickness relief and improve the car sickness relief efficiency.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method, apparatus, computer device, and storage medium for adjusting display parameters. Background Technology

[0002] In today's society, many people often experience motion sickness when traveling, with symptoms including dizziness, nausea, and vomiting. This not only affects the travel experience but also causes anxiety before traveling.

[0003] While various methods and medications exist to alleviate and prevent motion sickness, such as "behavioral adjustment," "natural therapy," "drug therapy," and "hunger and satiety," the effectiveness of these methods varies.

[0004] First, "behavior adjustment" relies on an individual's self-control and depends on whether the individual can effectively regulate their behavior and mindset. Different people react differently, and the effects vary. In fact, this method may not work for some people.

[0005] Secondly, while the items needed for the "natural therapy" section (such as orange peels, ginger slices, and medicated oil) are natural and harmless, they are not convenient to carry or store for a long time, and their strong smell may affect other passengers on the same vehicle.

[0006] While drug treatment is highly effective, it carries risks of side effects (such as drowsiness, dizziness, and palpitations). Long-term use can lead to drug dependence and resistance, thus reducing its effectiveness. Repeated overdosing or excessive use during long-distance travel can also cause adverse reactions.

[0007] Finally, the state of "hunger and satiety" is also difficult to control accurately. Excess or deficiency can have adverse effects on health, and the actual effects vary from person to person.

[0008] Therefore, how to improve the relief of motion sickness symptoms has become an urgent technical problem to be solved. Summary of the Invention

[0009] This application provides a method, apparatus, computer device, and storage medium for adjusting display parameters, with the aim of improving the effect of display parameter adjustment.

[0010] In a first aspect, this application provides a method for adjusting display parameters, the method comprising:

[0011] Based on physiological sensors, collect physiological data from target users;

[0012] When abnormalities are found in the physiological data, the visual display parameters of the displayed screen are adjusted based on a preset motion sickness relief strategy.

[0013] Secondly, this application also provides a display parameter adjustment device, the display parameter adjustment device comprising:

[0014] The physiological data acquisition module is used to collect physiological data of the target user based on physiological sensors;

[0015] The motion sickness relief module is used to adjust the visual display parameters of the displayed screen based on a preset motion sickness relief strategy when the physiological data is abnormal.

[0016] Thirdly, this application also provides a computer device, the computer device including a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, it implements the steps of the display parameter adjustment method as described above.

[0017] Fourthly, this application also provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, it implements the steps of the display parameter adjustment method described above.

[0018] This application provides a method, apparatus, computer device, and storage medium for adjusting display parameters. The method includes collecting physiological data of a target user; when abnormalities are found in the physiological data, adjusting the visual display parameters of the display screen based on a preset motion sickness relief strategy. Through this method, this application monitors the motion sickness symptoms of the target user using physiological data, improving the accuracy and efficiency of motion sickness symptom recognition. Adjusting the visual display parameters of the display screen according to the motion sickness relief strategy provides a more comfortable visual environment, allowing the eyes to better adjust visual load, thus alleviating the target user's motion sickness symptoms and improving the motion sickness relief effect. Furthermore, motion sickness relief through visual adjustment can achieve immediate effect, improving the efficiency of motion sickness relief. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments 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.

[0020] Figure 1 This is a flowchart illustrating a first embodiment of a display parameter adjustment method provided in this application.

[0021] Figure 2 This is a flowchart illustrating a second embodiment of a display parameter adjustment method provided in this application.

[0022] Figure 3 This is a flowchart illustrating a third embodiment of a display parameter adjustment method provided in this application.

[0023] Figure 4 This is a schematic diagram of the structure of a first embodiment of a display parameter adjustment device provided in this application;

[0024] Figure 5 This is a schematic block diagram of the structure of a computer device provided in an embodiment of this application.

[0025] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

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

[0027] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0028] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0029] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a first embodiment of a display parameter adjustment method provided in this application.

[0030] like Figure 1 As shown, the display parameter adjustment method includes steps S101 to S102.

[0031] S101. Collect physiological data of the target user;

[0032] In one embodiment, physiological data of the target user can be collected using physiological sensors. These physiological sensors may include heart rate sensors, blood pressure sensors, body temperature sensors, blood oxygen sensors, respiration sensors, electrocardiogram sensors, accelerometers and gyroscopes, electromyography sensors, and other sensor devices.

[0033] In one embodiment, the physiological data includes one or more of the following: heart rate data, eye movement data, blood pressure data, respiratory data, muscle electrical activity, body posture, and body temperature.

[0034] In one embodiment, physiological sensors can be integrated into smart wearable devices, such as smartwatches, smart bracelets, AR glasses, VR glasses, health trackers, smart helmets, and smartphones. When a user wears the smart wearable device close to their body, the physiological sensors can collect the target user's physiological data in real time.

[0035] S102. When the physiological data is abnormal, adjust the visual display parameters of the display screen based on the preset motion sickness relief strategy.

[0036] In one embodiment, physiological data of the target user under normal conditions can be collected by a biosensor, and the normal physiological data range of the target user can be calculated, such as a normal heart rate range of 60-100 beats / minute, a normal respiratory rate range of 12-20 breaths / minute, and a normal blood oxygen saturation range of 95% to 100%.

[0037] In one embodiment, normal range data for each physiological data point are used as reference data. Then, the actual physiological data of the target user during the ride is collected in real time and compared with the reference data. When the actual physiological data exceeds the range of the reference data, it is determined that the target user's physiological data is abnormal.

[0038] In one embodiment, the physiological data of the target user may vary in their response to motion sickness symptoms. For example, some physiological data may exceed the normal range, while other data may show slight fluctuations but remain within the normal range. Therefore, by collecting the target user's physiological data under motion sickness symptoms and comparing it with normal data, the data exceeding the normal range or showing significant fluctuations can be used as characteristic physiological data to identify the target user's motion sickness symptoms. Furthermore, the physiological data values ​​or ranges of the target user under different degrees of motion sickness symptoms can be recorded to more accurately identify whether the target user experiences motion sickness symptoms and the severity of those symptoms.

[0039] In one embodiment, the motion sickness relief strategy includes at least one of the following modes: visual enhancement mode, virtual environment simulation mode, and voice reminder mode.

[0040] In one embodiment, the motion sickness relief strategy can be a mode pre-selected by the target user or a default mode. For example, the head-mounted smart device can default to a visual enhancement mode as the motion sickness relief strategy; the head-mounted smart device can also use the motion sickness relief strategy previously selected by the target user as the current default motion sickness relief strategy. In this case, when the head-mounted smart device detects motion sickness symptoms in the target user, it can automatically trigger and execute the default motion sickness relief strategy.

[0041] In one embodiment, the head-mounted smart device can also provide motion sickness relief strategy options for the target user to choose from when it detects that the target user has motion sickness symptoms. Then, it can perform the corresponding motion sickness relief operation according to the motion sickness relief strategy selected by the target user.

[0042] Furthermore, when the motion sickness relief strategy is the visual enhancement mode, the target user's gaze movement data is determined based on the physiological data; based on the gaze movement data, the display pose of the smart display screen is matched and adjusted so that the smart display screen and the target user's gaze maintain a constant relative pose.

[0043] In one embodiment, visual motion data may include head pose change data and eye movement data. Head pose change data can be monitored using sensors such as accelerometers and gyroscopes, while eye movement data can be obtained through eye tracking calculations using visual sensors. It is understood that the monitoring and acquisition of head pose change data and eye movement data can be implemented using conventional techniques related to the art, and this application embodiment does not specifically limit these methods.

[0044] In one embodiment, in visual enhancement mode, based on line-of-sight movement data and combined with anti-shake algorithm, the pose synchronization adjustment of the smart display screen of the head-mounted smart wearable device is performed to adjust the stability of the screen so that the smart display screen seen by the target user always maintains the same relative pose, thereby reducing visual shaking and avoiding discomfort caused by visual input instability due to vehicle bumps or turns.

[0045] In one embodiment, in visual enhancement mode, the head-mounted smart device can also automatically adjust the brightness and contrast of the displayed image according to changes in the external environment (such as light intensity, road conditions, etc.) to reduce visual fatigue.

[0046] Furthermore, when the motion sickness relief strategy is the virtual environment simulation mode, the virtual scene style is determined based on the target user's environment simulation instructions; based on the virtual scene style, the intelligent display screen is rendered to display the virtual scene; and based on the physiological data, the visual display parameters of the virtual scene are adjusted.

[0047] In one embodiment, in the virtual environment simulation mode, the target user can select a virtual scene style, such as natural scenery, city streets, or beaches, before or during the ride. The head-mounted smart wearable device generates an environment simulation command based on the target user's selection, and then renders the smart display screen of the head-mounted smart device according to the environment simulation command and the virtual scene style selected by the target user, displaying the virtual scene and diverting the target user's attention during the ride.

[0048] In one embodiment, the target user can issue commands through the functional interface of the head-mounted smart device to select or switch different virtual scene styles; or they can select and switch virtual scene styles through voice commands.

[0049] In one embodiment, in virtual environment simulation mode, when the physiological sensor detects abnormalities in the physiological data of the target user, a visual adjustment strategy is automatically triggered to adjust the visual display parameters such as the display pose (such as display position and screen angle), screen color filter, brightness, and contrast in real time to reduce discomfort.

[0050] In one embodiment, the display pose adjustment can be synchronously adjusted based on the target user's visual movement data (such as head posture and eye movement data). For example, when the target user's head tilt is detected, the tilt direction and angle of the display can be synchronously adjusted according to the head tilt direction and angle. Alternatively, if the target user's gaze direction shift is detected based on eye movement data, the display position and tilt angle of the display can be adjusted so that the display is positioned where the target user's gaze is focused, allowing the target user to see complete and clear display content.

[0051] In one embodiment, when the voice reminder mode is enabled, the head-mounted smart device can provide real-time voice feedback information based on the target vehicle's current driving status, road conditions, and other vehicle motion data, such as "You are about to turn, please keep your breathing steady" to remind the user to prepare mentally.

[0052] In one embodiment, the motion sickness relief strategy can execute a single mode or a combination of multiple modes, such as a visual enhancement mode and a voice reminder mode that can be executed simultaneously.

[0053] This embodiment provides a display parameter adjustment method. This method uses biosensors to collect physiological data from the target user, monitors the user's motion sickness symptoms using this data, and improves the accuracy and efficiency of motion sickness symptom recognition. Based on motion sickness relief strategies, the method adjusts the visual display parameters of the screen to provide a more comfortable visual environment, allowing the eyes to better adjust visual load, thus alleviating the target user's motion sickness symptoms and improving the relief effect. Furthermore, motion sickness relief through visual adjustment can achieve immediate effect, improving the efficiency of motion sickness relief.

[0054] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating a second embodiment of a display parameter adjustment method provided in this application.

[0055] like Figure 2 As shown, based on the above Figure 1 In the illustrated embodiment, prior to step S102, the method further includes:

[0056] S201. Based on motion sensors, collect vehicle motion data;

[0057] In one embodiment, the motion sensor may include a positioning sensor (such as GPS), an accelerometer, a gyroscope, and a vision sensor.

[0058] In one embodiment, vehicle motion data may include, but is not limited to, vehicle position, speed, road conditions, and direction of travel.

[0059] In one embodiment, when the target user is riding in the vehicle, the vehicle's position, speed, and direction of travel are determined by positioning devices such as GPS configured in the head-mounted smart device. Accelerometers and gyroscopes are used to collect data such as the vehicle's speed and direction of travel. Visual sensors (such as radar and cameras) are used to collect data on road conditions (such as road obstacles, traffic signals, and road surface information).

[0060] S202. Based on the vehicle motion data, predict the next driving state of the target vehicle in the next prediction period;

[0061] In one embodiment, the next prediction period for the target vehicle can be customized according to user needs or set by default. For example, each prediction period can be set to 5 seconds, that is, predicting the driving status of the vehicle within 5 seconds.

[0062] For example, if a curve is detected ahead based on navigation information, vehicle location, and road conditions, and the target vehicle is predicted to enter the curve within the next prediction period based on its current speed, then the target vehicle's next driving state can be predicted to change, i.e., it will enter the curve from its current driving state, such as changing from a straight driving state to a right-turn driving state. Furthermore, the exit time of the target vehicle is predicted based on the curve length and the target vehicle's speed, and the next driving state is predicted based on the road conditions after exiting the curve.

[0063] S203. When the next driving state changes relative to the current driving state, a voice reminder is generated to remind the target user to adjust the state according to the next driving state.

[0064] In one embodiment, the head-mounted smart device can generate voice reminder information based on the next driving state in each prediction cycle and broadcast the reminder. For example, when the target vehicle is driving straight, the device can remind the target vehicle of its current driving state once every prediction cycle, such as "The vehicle is currently driving straight", "The vehicle is about to turn right", "The road ahead is bumpy", etc.

[0065] In one embodiment, the head-mounted smart device can also provide voice prompts when there is a significant difference between the next driving state and the current driving state. For example, if the vehicle is continuously driving straight, no prompt may be given, or the prompt interval may be extended. For instance, if the driving state of the target vehicle has not changed for three consecutive prediction cycles, and the next driving state is also not expected to change, a voice prompt may be given every three or more prediction cycles. However, if a change in the next driving state of the target vehicle is predicted, a voice prompt message needs to be generated based on the change in the next driving state and a voice broadcast prompt may be given, such as "Left turn ahead", "Sharp turn ahead", "Lights change ahead", "Vehicle accelerating", "Vehicle decelerating", "Vehicle about to brake and stop", etc.

[0066] This embodiment uses vehicle motion data to predict vehicle driving status and provide voice reminders, allowing target users to know in advance of changes in vehicle driving status, thus preparing themselves mentally and adjusting themselves to avoid motion sickness caused by changes in vehicle driving status.

[0067] Please refer to Figure 3 , Figure 3 This is a flowchart illustrating a third embodiment of a display parameter adjustment method provided in this application.

[0068] like Figure 3 As shown, based on the above Figure 1In the illustrated embodiment, after step S102, the method further includes:

[0069] S301. Collect physiological data of the target user after the motion sickness relief strategy is implemented, and obtain at least one set of second physiological datasets;

[0070] In one embodiment, the head-mounted smart device can continuously collect physiological data from the target user and can distinguish the collected physiological data into normal physiological datasets, motion sickness physiological datasets, and relief physiological datasets.

[0071] In one embodiment, the motion sickness physiological dataset can be the physiological data of the target user after the physiological data exceeds the normal physiological data range until the motion sickness relief strategy is implemented.

[0072] In one embodiment, the physiological dataset for alleviating motion sickness can be the physiological data of the target user after the motion sickness relief strategy is implemented, i.e., as a second physiological dataset.

[0073] S302. Based on the correspondence between the second physiological dataset and the visual display parameters, fit at least one set of motion sickness relief effect curves corresponding to the visual display parameters;

[0074] In one embodiment, visual display parameters of a head-mounted wearable device can be collected, and the visual display parameters can be correlated with physiological data of a second physiological dataset according to time points. That is, the visual display parameters and physiological data corresponding to the same time point can be correlated in chronological order.

[0075] In one embodiment, based on the correspondence between visual display parameters and physiological data, a motion sickness relief curve of visual display parameters is fitted. For example, a two-dimensional coordinate system is established, with the horizontal axis representing the visual display parameters that change sequentially over time, and the vertical axis representing the physiological data of the target user within the same time period.

[0076] In one embodiment, visual display parameters can be preset. When implementing a motion sickness relief strategy, the smart display screen of the head-mounted smart device is adjusted to the preset visual display parameters, and physiological data of the target user after the visual display parameters are adjusted is collected to fit the trend of physiological data changes.

[0077] In one embodiment, multiple sets of physiological data corresponding to the same visual display parameter can be collected, and then homogenized to generate a mean curve of physiological data transformation corresponding to the visual display parameter, which serves as the motion sickness relief effect curve corresponding to the visual display parameter.

[0078] In one embodiment, the average curves of physiological data transformation corresponding to multiple different visual display parameters can be collected in the manner described above to obtain the motion sickness relief effect curves corresponding to multiple different visual display parameters.

[0079] In another embodiment, the intelligent display screen of the head-mounted smart device can be set to slowly adjust from the initial visual display parameters to the preset visual display parameters, and then a physiological data change curve that changes with the visual display parameters can be constructed as a motion sickness relief curve.

[0080] S303. Compare the motion sickness relief effect curves corresponding to the visual display parameters in each group to determine the optimal visual display parameters, and use the optimal visual display parameters as the motion sickness relief strategy for the target user.

[0081] In one embodiment, the motion sickness relief effect curves corresponding to different visual display parameters can be compared to determine which visual display parameter has the best motion sickness relief effect for the target user. For example, if the motion sickness relief effect curve corresponding to a certain visual display parameter shows the fastest downward trend, it means that the visual display parameter has the fastest motion sickness relief effect for the target user; or if the motion sickness relief effect curve corresponding to a certain visual display parameter shows the largest downward degree, it means that the visual display parameter is the most effective in relieving motion sickness for the target user.

[0082] In one embodiment, a specific visual display parameter can be selected for the motion sickness relief strategy of the target user based on the motion sickness relief effect of each set of visual display parameters on the target user and the user's needs; alternatively, a combination of multiple visual display parameters can be selected for the motion sickness relief strategy of the target user.

[0083] For example, if the first visual display parameter has the fastest effect in relieving motion sickness for the target user, but the target user's physiological data still exceeds the normal physiological data range after stabilization, meaning the target user will still experience motion sickness symptoms; while the second visual display parameter has the best effect in relieving motion sickness, meaning the target user's physiological data can slowly return to the normal physiological data range under the second visual display parameter, but the effect takes a relatively long time. In this case, the first and second visual display parameters can be combined. That is, when the target user experiences motion sickness symptoms, first adjust the visual display parameters of the head-mounted smart device to the first visual display parameter. Once the target user's physiological data decreases to a certain extent or reaches a stable state, then adjust the visual display parameters of the head-mounted smart device to the second visual display parameter, so that the target user's physiological data decreases to the normal physiological data range.

[0084] In one embodiment, the cause of motion sickness in the target user can be determined based on vehicle motion data, such as sudden braking, excessive braking frequency, turning, acceleration, etc. Then, the cause of motion sickness is combined with the motion sickness relief effect curve to identify the effect of visual display parameters on the motion sickness relief of the target user under different motion sickness cause conditions, and thus identify the best visual display effect corresponding to different motion sickness causes.

[0085] This embodiment collects physiological data of the target user after adjusting the visual display parameters, identifies the correlation between the visual display parameters and the physiological data, constructs a motion sickness relief effect curve, and thus more intuitively displays the effect of the visual display parameters on the motion sickness symptoms of the target user. In this way, the visual display parameters with the best effect on the motion sickness relief of the target user are selected, thereby improving the motion sickness relief effect.

[0086] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a first embodiment of a display parameter adjustment device provided in this application. The display parameter adjustment device is used to perform the aforementioned display parameter adjustment method.

[0087] like Figure 4 As shown, the display parameter adjustment device 300 includes: a physiological data acquisition module 301 and a motion sickness relief module 302.

[0088] Physiological data acquisition module 301 is used to collect physiological data of the target user;

[0089] The motion sickness relief module 302 is used to adjust the visual display parameters of the display screen based on a preset motion sickness relief strategy when the physiological data is abnormal.

[0090] In one embodiment, the display parameter adjustment device 300 further includes a visual display parameter filtering module, comprising:

[0091] The second physiological data acquisition unit is used to collect physiological data of the target user after the motion sickness relief strategy is implemented, and to obtain at least one set of second physiological datasets.

[0092] The motion sickness relief effect curve fitting unit is used to fit at least one set of motion sickness relief effect curves corresponding to the visual display parameters based on the correspondence between the second physiological dataset and the visual display parameters.

[0093] The optimal visual display parameter determination unit is used to compare the motion sickness relief effect curves corresponding to each group of visual display parameters, determine the optimal visual display parameters, and use the optimal visual display parameters as the motion sickness relief strategy for the target user.

[0094] In one embodiment, the motion sickness relief strategy includes at least one of a visual enhancement mode, a virtual environment simulation mode, and a voice reminder mode.

[0095] In one embodiment, the motion sickness relief module 302 includes:

[0096] A gaze movement data determination unit is used to determine the gaze movement data of the target user based on the physiological data when the motion sickness relief strategy is the visual enhancement mode.

[0097] The screen adjustment unit is used to match and adjust the display pose of the smart display screen based on the gaze movement data, so that the smart display screen and the target user's gaze maintain a constant relative pose.

[0098] In one embodiment, the motion sickness relief module 302 further includes:

[0099] The virtual scene style determination unit is used to determine the virtual scene style based on the target user's environment simulation instructions when the motion sickness relief strategy is the virtual environment simulation mode;

[0100] A virtual scene display unit is used to render the intelligent display screen and display the virtual scene based on the virtual scene style;

[0101] A visual display parameter adjustment unit is used to adjust the visual display parameters of the virtual scene based on the physiological data.

[0102] In one embodiment, the display parameter adjustment device 300 further includes a driving prediction module, comprising:

[0103] The vehicle motion data acquisition unit is used to acquire vehicle motion data based on motion sensors.

[0104] The driving state prediction unit is used to predict the next driving state of the target vehicle in the next prediction period based on the vehicle motion data.

[0105] The voice reminder unit is used to generate voice reminder information when the next driving state changes relative to the current driving state, so as to remind the target user to adjust the state according to the next driving state.

[0106] In one embodiment, the vehicle motion data includes vehicle position, speed, road conditions, and direction of travel.

[0107] It should be noted that those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the device and each module described above can be referred to the corresponding process in the aforementioned embodiment of the display parameter adjustment method, and will not be repeated here.

[0108] The apparatus provided in the above embodiments can be implemented as a computer program, which can be used in, for example... Figure 5 It runs on the computer device shown.

[0109] Please see Figure 5 , Figure 5 This is a schematic block diagram illustrating the structure of a computer device according to an embodiment of this application. The computer device may be a server.

[0110] See Figure 5 The computer device includes a processor, memory, and network interface connected via a system bus, wherein the memory may include non-volatile storage media and internal memory.

[0111] Non-volatile storage media can store operating systems and computer programs. These computer programs include program instructions that, when executed, cause the processor to perform any method of adjusting display parameters.

[0112] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0113] Internal memory provides an environment for the execution of computer programs stored in non-volatile storage media. When these computer programs are executed by the processor, the processor can perform any method of adjusting display parameters.

[0114] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0115] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0116] In one embodiment, the processor is configured to run a computer program stored in memory to perform the following steps:

[0117] Collect physiological data from target users;

[0118] When abnormalities are found in the physiological data, the visual display parameters of the displayed screen are adjusted based on a preset motion sickness relief strategy.

[0119] In one embodiment, after implementing the motion sickness relief strategy and adjusting the visual display parameters of the displayed screen, the processor is further configured to:

[0120] Collect physiological data of the target user after the motion sickness relief strategy is implemented to obtain at least one set of second physiological datasets;

[0121] Based on the correspondence between the second physiological dataset and the visual display parameters, fit at least one set of motion sickness relief curves corresponding to the visual display parameters;

[0122] By comparing the motion sickness relief effect curves corresponding to the visual display parameters in each group, the optimal visual display parameters are determined, and the optimal visual display parameters are used as the motion sickness relief strategy for the target user.

[0123] In one embodiment, the motion sickness relief strategy includes at least one of a visual enhancement mode, a virtual environment simulation mode, and a voice reminder mode.

[0124] In one embodiment, when the processor adjusts the visual display parameters of the displayed screen based on the preset motion sickness relief strategy, it is configured to:

[0125] When the motion sickness relief strategy is the visual enhancement mode, the eye movement data of the target user is determined based on the physiological data;

[0126] Based on the gaze movement data, the display pose of the smart display screen is matched and adjusted so that the smart display screen and the target user's gaze remain in a constant relative pose.

[0127] In one embodiment, when the processor adjusts the visual display parameters of the displayed screen based on the preset motion sickness relief strategy, it is also used to:

[0128] When the motion sickness relief strategy is the virtual environment simulation mode, the virtual scene style is determined based on the target user's environment simulation instructions;

[0129] Based on the virtual scene style, the intelligent display screen is rendered to display the virtual scene;

[0130] Based on the physiological data, the visual display parameters of the virtual scene are adjusted.

[0131] In one embodiment, before implementing the step of adjusting the visual display parameters of the displayed screen based on a preset motion sickness relief strategy when the physiological data is abnormal, the processor is further configured to implement:

[0132] Based on motion sensors, vehicle motion data is collected;

[0133] Based on the vehicle motion data, predict the next driving state of the target vehicle in the next prediction period;

[0134] When the next driving state changes from the current driving state, a voice reminder is generated to remind the target user to adjust the driving state according to the next driving state.

[0135] In one embodiment, the vehicle motion data includes vehicle position, speed, road conditions, and direction of travel.

[0136] The embodiments of this application also provide a computer-readable storage medium storing a computer program, the computer program including program instructions, and the processor executing the program instructions to implement any of the display parameter adjustment methods provided in the embodiments of this application.

[0137] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiments, such as the hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the computer device.

[0138] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A display parameter adjustment method, characterized by, The method comprises: collecting physiological data of a target user; when the physiological data is abnormal, adjusting visual display parameters of a display picture based on a preset car sickness relief strategy; wherein the car sickness relief strategy comprises a visual enhancement mode; the adjusting of the visual display parameters of the display picture based on the preset car sickness relief strategy comprises: when the car sickness relief strategy is the visual enhancement mode, determining line-of-sight movement data of the target user based on the physiological data, wherein the line-of-sight movement data comprises pose change data of the head and eye movement data; based on the line-of-sight movement data, performing matching adjustment on a display picture pose of the display picture, so that the display picture and the line-of-sight of the target user remain relatively constant in pose, wherein the display picture pose comprises a display position and a picture angle of the display picture.

2. The display parameter adjustment method according to claim 1, characterized by, The adjusting of the visual display parameters of the display picture based on the preset car sickness relief strategy further comprises: collecting physiological data of the target user after the execution of the car sickness relief strategy, to obtain at least one second physiological data set; based on a corresponding relationship between the second physiological data set and the visual display parameters, fitting at least one car sickness relief effect curve corresponding to the visual display parameters; comparing the car sickness relief effect curves corresponding to the visual display parameters of each group, to determine the best visual display parameters, and taking the best visual display parameters as the car sickness relief strategy corresponding to the target user.

3. The display parameter adjustment method according to claim 1, wherein The car sickness relief strategy comprises at least one of a visual enhancement mode, a virtual environment simulation mode, and a voice reminder mode.

4. The display parameter adjustment method according to claim 3, characterized by, The adjusting of the visual display parameters of the display picture based on the preset car sickness relief strategy further comprises: when the car sickness relief strategy is the virtual environment simulation mode, determining a virtual scene style based on an environment simulation instruction of the target user; based on the virtual scene style, rendering the display picture to display a virtual scene; based on the physiological data, adjusting visual display parameters of the virtual scene.

5. The display parameter adjustment method of claim 1, wherein, Before the adjusting of the visual display parameters of the display picture based on the preset car sickness relief strategy when the physiological data is abnormal, the method further comprises: based on a motion sensor, collecting vehicle motion data; based on the vehicle motion data, predicting a next driving state of a target vehicle in a next prediction period; when the next driving state has a state change relative to a current driving state, generating voice reminder information to remind the target user to adjust the state according to the next driving state through the voice reminder information.

6. The display parameter adjustment method according to claim 5, wherein The vehicle motion data comprises at least one of vehicle position, driving speed, driving road condition, and driving direction.

7. A display parameter adjustment apparatus, characterized by comprising: The display parameter adjustment device comprises: a physiological data collection module configured to collect physiological data of a target user based on a physiological sensor; a car sickness relief module configured to adjust visual display parameters of a display picture based on a preset car sickness relief strategy when the physiological data is abnormal; The car sickness relief strategy includes a visual enhancement mode; the car sickness relief module is further configured to determine line-of-sight movement data of a target user based on the physiological data when the car sickness relief strategy is the visual enhancement mode, wherein the line-of-sight movement data includes pose change data of a head and eye movement data; and match and adjust a display position of the display picture based on the line-of-sight movement data, so that the display picture and the line-of-sight of the target user remain relatively constant in pose, wherein the display position of the display picture includes a display position and an angle of the display picture.

8. A computer device, comprising: The computer device includes a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the display parameter adjustment method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of the display parameter adjustment method according to any one of claims 1 to 6.

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