Driver emotion adjusting method, device and equipment and vehicle

Abstract

The embodiment of the invention provides a driver emotion adjusting method, device and equipment and a vehicle, and relates to the technical field of intelligent vehicles. The driver emotion adjusting method comprises the steps of performing emotion detection on a driver in a vehicle to obtain an emotion detection result; determining the emotion of the driver according to the emotion detection result; under the condition that the emotion of the driver is negative emotion, negative emotion adjusting parameters corresponding to all the environment illumination light sources are obtained based on the emotion of the driver and the interior materials of the areas where all the environment illumination light sources are located in the vehicle; and based on the negative emotion adjustment parameter corresponding to each environment illumination light source, controlling each environment illumination light source to perform environment illumination so as to adjust the emotion of the driver. According to the technical scheme, the negative emotion of the driver can be adjusted, and the driving safety is improved.

Description

Technical Field

[0001] This application relates to the field of intelligent vehicle technology, and in particular to a method, device, equipment and vehicle for driver emotion regulation. Background Technology

[0002] Driver emotions are a core factor affecting driving safety. Negative emotions such as anger and fatigue can severely impair a driver's cognitive function and operational ability, significantly increasing the probability of traffic accidents. In the case of anger, drivers may adopt risky and aggressive driving strategies, such as aggressive overtaking, following too closely behind, and frequent honking, potentially leading to serious collisions or even road rage incidents. In the case of fatigue, drivers may experience inattention and slowed reaction times, making it difficult to respond promptly to environmental changes or potential hazards, thus affecting driving safety. Therefore, a driver emotion regulation program is needed to regulate negative driver emotions and improve driving safety. Summary of the Invention

[0003] This application provides a method, device, equipment, and vehicle for regulating driver emotions, which can regulate the driver's negative emotions and improve driving safety.

[0004] In a first aspect, embodiments of this application provide a method for regulating driver emotions, the method comprising: Emotional detection was performed on the driver in the vehicle, and the emotional detection results were obtained. The driver's emotion is determined based on the emotion detection results; When the driver's mood is negative, based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle, the negative mood adjustment parameter corresponding to each ambient lighting source is obtained; Based on the negative emotion regulation parameters corresponding to each ambient lighting source, the ambient lighting is controlled to regulate the driver's emotions.

[0005] In some embodiments of this application, obtaining the negative emotion modulation parameters corresponding to each ambient lighting source based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle includes: Based on the driver's mood and the interior material of the area where the ambient lighting source is located, obtain the negative emotion regulation parameters corresponding to the ambient lighting source from the emotion regulation parameter library; The step of controlling the ambient lighting based on the negative emotion modulation parameters corresponding to each ambient lighting source includes: Based on the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting parameters of the ambient lighting source are determined; The ambient lighting source is controlled to provide ambient lighting based on the lighting parameters.

[0006] In some embodiments of this application, the negative emotion modulation parameters include: a maximum hue value and a minimum hue value; the lighting parameters include: lighting hue; The step of determining the lighting parameters of the ambient lighting source based on the negative emotion modulation parameters corresponding to the ambient lighting source includes: Based on the maximum and minimum hue values ​​in the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting hue in the lighting parameters of the ambient lighting source is calculated using the following formula:

[0007] in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue.

[0008] In some embodiments, the negative emotion modulation parameters include: base brightness and brightness compensation coefficient; the lighting parameters include: lighting brightness; determining the lighting parameters of the ambient lighting source based on the negative emotion modulation parameters corresponding to the ambient lighting source includes: Based on the base brightness and brightness compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the illumination brightness in the illumination parameters of the ambient lighting source is calculated using the following formula:

[0009] in, Indicates the brightness of the lighting. This represents the clamping function. Indicates the base brightness. Indicates the brightness compensation coefficient. Indicates the influence factor of ambient light. Indicates facial light compensation factor. This indicates the minimum brightness value of the ambient lighting source. This indicates the maximum brightness value of the ambient lighting source.

[0010] In some embodiments, the method further includes: Obtain ambient light levels; Based on the ambient illuminance, the ambient light influence factor is calculated using the following formula:

[0011] in, This represents the minimum influence factor of ambient light. Indicates the environmental intensity attenuation coefficient. Indicates ambient light intensity; Obtain the driver's facial brightness; Based on the driver's facial brightness, the facial compensation factor is calculated using the following formula:

[0012] in, This indicates the brightness value of the driver's face. This represents the brightness compensation intensity coefficient.

[0013] In some embodiments of this application, the driver's emotion is a negative emotion, including one of the following: the driver's emotion is anger; the driver's emotion is fatigue. When the driver's emotion is anger, the negative emotion adjustment parameters corresponding to the ambient lighting source include: anger emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located; When the driver is experiencing fatigue, the negative emotion adjustment parameters corresponding to the ambient lighting source include: fatigue emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located.

[0014] In some embodiments of this application, the step of performing emotion detection on the driver in the vehicle and obtaining the emotion detection result includes: The driver's emotions are detected in multiple dimensions to obtain the emotion detection result for each of the multiple dimensions; wherein, the multiple dimensions include: facial image feature dimension, voice feature dimension, physiological feature dimension and driving feature dimension; Based on the emotion detection results for each dimension, determine the number of identical emotion detection results; If the quantity is greater than or equal to the quantity threshold, the driver's emotion is determined based on the same emotion detection result.

[0015] Secondly, embodiments of this application provide a driver emotion regulation device, the device comprising: The emotion detection module is used to detect the driver's emotions in the vehicle and obtain the emotion detection results. An emotion determination module is used to determine the driver's emotion based on the emotion detection results; The parameter acquisition module is used to acquire negative emotion adjustment parameters corresponding to each ambient lighting source based on the driver's emotion and the interior material of the area where each ambient lighting source is located in the vehicle when the driver's emotion is negative. The lighting adjustment module is used to control each ambient lighting source to provide ambient lighting based on the negative emotion adjustment parameters corresponding to each ambient lighting source, so as to adjust the driver's emotions.

[0016] Thirdly, embodiments of this application provide a driver emotion regulation device, comprising: A memory on which computer programs are stored; A processor is used to execute the computer program to implement the above-described driver emotion regulation method.

[0017] Fourthly, embodiments of this application provide a vehicle including the aforementioned driver emotion regulation device.

[0018] In the above technical solution of this application embodiment, by performing emotion detection on the driver in the vehicle, the emotion detection result is obtained, and the driver's emotion is determined based on the emotion detection result. When the driver's emotion is negative, based on the driver's emotion and the interior material of the area where each ambient lighting source is located, the negative emotion adjustment parameter corresponding to each ambient lighting source is obtained. Then, based on the negative emotion adjustment parameter corresponding to each ambient lighting source, the ambient lighting of each ambient lighting source is controlled. It is possible to make targeted adjustments to each ambient lighting source according to the interior material of the area where each ambient lighting source is located, so that the emotion adjustment light of each ambient lighting source is adapted to the interior material of the area where each ambient lighting source is located, thereby improving the effect of the emotion adjustment light of each ambient lighting source and optimizing the driver's emotion adjustment effect.

[0019] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0020] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a flowchart illustrating a driver emotion regulation method according to some embodiments of this application; Figure 2 This is a flowchart illustrating the process of driver anger regulation in some embodiments of this application; Figure 3 This is a schematic diagram of the driver emotion regulation device according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a driver emotion regulation device according to some embodiments of this application. Detailed Implementation

[0021] Exemplary embodiments of the present application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0022] As mentioned earlier, negative emotions such as anger and fatigue are significant factors affecting driving safety. Anger can impair a driver's performance, potentially reducing rational judgment and increasing impulsive or risky behaviors. Fatigue can lead to inattention, slowed reaction time, and difficulty coping with changes in the driving environment.

[0023] In related technologies, when a driver experiences negative emotions such as anger or fatigue, the ambient lighting system inside the vehicle can be adjusted to regulate the driver's mood. During the development of this application, the inventors discovered that related technologies typically rely on a unified lighting adjustment scheme to uniformly adjust the ambient lighting system inside the vehicle to regulate the driver's mood. An ambient lighting system, such as an ambient lighting system, usually includes multiple ambient lighting sources, such as ambient lights. During ambient lighting, the light emitted by each ambient lighting source illuminates the corresponding area of ​​the interior trim. For example, the ambient light in the center console area illuminates the center console, the ambient light in the steering wheel area illuminates the steering wheel, the ambient light in the A-pillar trim area illuminates the A-pillar trim, and the ambient light in the door areas illuminates the door. Different interior materials may have different absorption, reflection, and refraction effects on light. If a unified lighting adjustment scheme is used to uniformly adjust the ambient lighting sources in all areas of the vehicle, the mood-regulating lighting effect of some ambient lighting sources may be poor, affecting the mood-regulating effect.

[0024] Therefore, this application provides a method for regulating driver emotions. In this method, the driver's emotions are detected in the vehicle, and the driver's emotions are determined based on the detection results. If the driver's emotions are negative, negative emotion regulation parameters are obtained for each ambient lighting source based on the driver's emotions and the interior material of the area where each ambient lighting source is located. Then, based on these negative emotion regulation parameters, each ambient lighting source is controlled to provide ambient lighting. This allows for targeted adjustment of the lighting of each ambient lighting source according to the interior material of the area where it is located, ensuring that the emotion-regulating lighting of each ambient lighting source is adapted to the interior material of that area, improving the lighting effect of the emotion-regulating lighting of each ambient lighting source, and thus optimizing the driver's emotion regulation effect.

[0025] The driver emotion regulation method of this application embodiment can be applied to a vehicle and executed by the vehicle's driver emotion regulation system. Figure 1 This is a flowchart illustrating a driver emotion regulation method according to some embodiments of this application. For example... Figure 1 As shown, in some embodiments of this application, the driver emotion regulation method includes: S102, perform emotion detection on the driver in the vehicle and obtain the emotion detection results.

[0026] In this embodiment of the application, various emotions can be detected in the driver to obtain the emotion detection results.

[0027] As an example, various emotions can include anger and fatigue, and the emotion detection result can be one of the following: anger, fatigue, or normal.

[0028] In practice, appropriate methods can be used to detect the driver's emotions and obtain the results.

[0029] In some embodiments, a driver's facial image can be acquired, and based on the driver's facial image, emotion detection can be performed on the driver to obtain the emotion detection result.

[0030] Specifically, the driver's facial image can be a real-time image of the driver's face, which can be acquired through devices such as an in-vehicle camera. After acquiring the driver's real-time facial image, it can be input into a first emotion detection model, which will then perform emotion detection based on the real-time facial image and output the emotion detection result.

[0031] The first emotion detection model is used to detect emotions based on facial images and output the emotion detection result. The first emotion detection model can be trained on a first base model based on sample facial images and their corresponding emotion labels. The first base model can be, for example, an image classification model.

[0032] In some embodiments, driver voice data can be acquired, and based on the driver voice data, emotion detection can be performed on the driver to obtain emotion detection results.

[0033] Specifically, the driver's voice data can be real-time voice data, which can be acquired through devices such as in-vehicle microphones. After acquiring the driver's real-time voice data, it can be input into a second emotion detection model, which will then perform emotion detection based on the real-time voice data and output the emotion detection result.

[0034] The second emotion detection model is used to detect emotions based on audio data and output the emotion detection result. This second emotion detection model can be trained on a second base model based on sample audio data and its corresponding emotion labels. For example, the second base model could be a speech Transformer model.

[0035] In some embodiments, physiological characteristic data of the driver can be acquired, and based on the physiological characteristic data of the driver, emotion detection of the driver can be performed to obtain emotion detection results.

[0036] Specifically, the driver's physiological characteristic data refers to the driver's real-time physiological characteristic data, such as the driver's real-time heart rate data, which can be obtained through physiological characteristic sensors embedded in the steering wheel. After obtaining the driver's real-time physiological characteristic data, this data can be input into a third emotion detection model, which will then perform emotion detection based on the data and output the emotion detection result.

[0037] The third emotion detection model is used to detect emotions based on physiological feature data and output the emotion detection results. This third emotion detection model can be trained on a third-base model based on sample physiological feature data and its corresponding emotion labels. The third-base model can be, for example, a deep learning model.

[0038] In some embodiments, driver's driving characteristic data can be obtained, and based on the driver's driving characteristic data, emotion detection can be performed on the driver to obtain emotion detection results.

[0039] Specifically, the driver's driving characteristic data can be real-time vehicle operation data, such as the switching frequency of the accelerator and brake pedals, which can be obtained from the vehicle's infotainment system. After obtaining the driver's real-time driving characteristic data, this data can be input into the fourth emotion detection model, which will then perform emotion detection based on the data and output the emotion detection result.

[0040] The fourth emotion detection model is used to detect emotions based on driving feature data and output the emotion detection results. This fourth emotion detection model can be trained on a fourth-base model based on sample driving feature data and its corresponding emotion labels. The fourth-base model can be, for example, a machine learning model.

[0041] S104, determine the driver's emotions based on the emotion detection results.

[0042] In this embodiment of the application, the driver's emotion can be determined based on the emotion detection results.

[0043] Using the example above, if the emotion detection result is anger, then the driver's emotion can be determined to be anger. If the emotion detection result is fatigue, then the driver's emotion can be determined to be fatigue. If the emotion detection result is normal, then the driver's emotion can be determined to be normal.

[0044] S106, when the driver's mood is negative, obtain the negative mood adjustment parameters corresponding to each ambient lighting source based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle.

[0045] In this embodiment, negative emotions are those that negatively impact driving safety, and may include anger, fatigue, etc. If the driver's emotion is anger, it can be determined that the driver's emotion is negative. If the driver's emotion is fatigue, it can also be determined that the driver's emotion is negative.

[0046] After determining that the driver's emotion is negative, for each ambient lighting source in the vehicle, negative emotion adjustment parameters can be obtained based on the driver's emotion and the interior material of the area where the ambient lighting source is located. These negative emotion adjustment parameters are related to the driver's emotion and the interior material of the area where the ambient lighting source is located; they can be the lighting parameters that maximize the lighting effect of the negative emotion-adjusting light after it has been processed by the interior material of that area. The negative emotion adjustment parameters for the same ambient lighting source differ for different negative emotions. Furthermore, the negative emotion adjustment parameters for different ambient lighting sources differ for the same negative emotion.

[0047] Specifically, ambient lighting sources are the light sources of an ambient lighting system in a vehicle, used to illuminate the interior of the vehicle. There are usually multiple ambient lighting sources, installed in different areas inside the vehicle. The area where the ambient lighting sources are located can be referred to as the installation area for the ambient lighting sources.

[0048] Following the example above, a vehicle may include multiple ambient lighting sources. These multiple ambient lighting sources can be Ambient Lighting Source 1, Ambient Lighting Source 2, Ambient Lighting Source 3, and Ambient Lighting Source 4. Ambient Lighting Source 1 can be located in the center console area of ​​the vehicle, and the interior material of the center console area can be hard plastic. Ambient Lighting Source 2 can be located in the door area of ​​the vehicle, and the interior material of the door area can be soft-touch plastic. Ambient Lighting Source 3 can be located in the footwell area of ​​the vehicle, and the interior material of the footwell area can be fabric. Ambient Lighting Source 4 can be located in the seat area of ​​the vehicle, and the interior material of the seat area can be leather.

[0049] Interior materials can vary depending on the ambient light source. Different interior materials have different effects on light absorption, reflection, and refraction. Based on the optical parameters of the interior materials and color psychology, specific negative emotion regulation parameters can be set for each type of interior material to regulate that negative emotion, and these parameters can be stored in an emotion regulation parameter library.

[0050] Specifically, for each negative emotion, the corresponding negative emotion adjustment parameters for each interior material can be the lighting parameters that best regulate that negative emotion for each material. For example, these parameters would ensure that the light eliciting the negative emotion achieves its optimal effect after being absorbed, reflected, and refracted by the interior material. Negative emotion adjustment parameters can include color parameters, brightness parameters, etc. Different interior materials may use different negative emotion adjustment parameters for the same emotion.

[0051] Following the example above, the emotion regulation parameter library may include: anger emotion regulation parameters corresponding to hard plastic materials, anger emotion regulation parameters corresponding to slush plastic materials, anger emotion regulation parameters corresponding to fabric materials, and anger emotion regulation parameters corresponding to leather materials, as well as fatigue emotion regulation parameters corresponding to hard plastic materials, fatigue emotion regulation parameters corresponding to slush plastic materials, fatigue emotion regulation parameters corresponding to fabric materials, and fatigue emotion regulation parameters corresponding to leather materials.

[0052] The anger-regulating parameters corresponding to hard plastic materials can be the lighting parameters that maximize the lighting effect of the anger-regulating light after absorption and reflection by the hard plastic material. These parameters can include: the first color parameter and the first brightness parameter.

[0053] The anger-adjusting parameters corresponding to the slush-molded material can be the lighting parameters that maximize the lighting effect of the anger-adjusting light after absorption and reflection by the slush-molded material. These parameters can include: a second color parameter and a second brightness parameter.

[0054] The anger-modifying parameters corresponding to the fabric material can be the lighting parameters that make the anger-modifying light have the best lighting effect after being absorbed and reflected by the fabric material. These parameters can include: the third color parameter and the third brightness parameter.

[0055] The anger regulation parameters corresponding to the leather material can be the lighting parameters that make the anger regulation light have the best lighting effect after being absorbed and reflected by the leather material. These parameters can include: the fourth color parameter and the fourth brightness parameter.

[0056] The fatigue mood adjustment parameters corresponding to hard plastic materials can be the lighting parameters that make the fatigue mood adjustment light have the best lighting effect after being absorbed and reflected by the hard plastic material. These parameters can include: the fifth color parameter and the fifth brightness parameter.

[0057] The fatigue mood adjustment parameters corresponding to the slush molding material can be the lighting parameters that make the fatigue mood adjustment light have the best lighting effect after being absorbed and reflected by the slush molding material. These parameters can include: the sixth color parameter and the sixth brightness parameter.

[0058] The fatigue mood adjustment parameters corresponding to the fabric material can be the lighting parameters that make the fatigue mood adjustment light have the best lighting effect after being absorbed and reflected by the fabric material. These parameters can include the seventh color parameter and the seventh brightness parameter.

[0059] The fatigue mood adjustment parameters corresponding to leather material can be the lighting parameters that make the fatigue mood adjustment light have the best lighting effect after being absorbed and reflected by the leather material. These parameters can include the eighth color parameter and the eighth brightness parameter.

[0060] After determining that the driver's emotion is negative, the system can retrieve negative emotion regulation parameters corresponding to that interior material from an emotion regulation parameter library, based on the driver's emotion and the interior material of the area where each ambient lighting source is located. The process of retrieving negative emotion regulation parameters for each ambient lighting source based on the driver's emotion and the interior material of that area can include: Based on the driver's mood and the interior material of the area where the ambient lighting source is located, the negative emotion regulation parameters corresponding to that ambient lighting source are obtained from the emotion regulation parameter library.

[0061] The driver's emotions may include anger and fatigue. When the driver is angry, the negative emotion modulation parameters corresponding to the ambient lighting source may include anger modulation parameters corresponding to the interior material of the area where the ambient lighting source is located. When the driver is fatigued, the negative emotion modulation parameters corresponding to the ambient lighting source may include fatigue modulation parameters corresponding to the interior material of the area where the ambient lighting source is located.

[0062] Continuing with the above example, if the driver's emotion is anger, for ambient lighting source 1, the anger regulation parameters corresponding to hard plastic materials can be obtained from the emotion regulation parameter library based on the anger and the interior material (hard plastic) of the area where ambient lighting source 1 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 1; for ambient lighting source 2, the anger regulation parameters corresponding to slush molding materials can be obtained from the emotion regulation parameter library based on the anger and the interior material (molded plastic) of the area where ambient lighting source 2 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 2; for ambient lighting source 3, the anger regulation parameters corresponding to fabric materials can be obtained from the emotion regulation parameter library based on the anger and the interior material (fabric) of the area where ambient lighting source 3 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 3; for ambient lighting source 4, the anger regulation parameters corresponding to leather materials can be obtained from the emotion regulation parameter library based on the anger and the interior material (leather) of the area where ambient lighting source 4 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 4.

[0063] If the driver's emotion is fatigue, for ambient lighting source 1, fatigue regulation parameters corresponding to hard plastic materials can be obtained from the emotion regulation parameter library based on the fatigue emotion and the interior material (hard plastic) of the area where ambient lighting source 1 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 1; for ambient lighting source 2, fatigue regulation parameters corresponding to slush molding materials can be obtained from the emotion regulation parameter library based on the fatigue emotion and the interior material (soft-touch plastic) of the area where ambient lighting source 2 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 2; for ambient lighting source 3, fatigue regulation parameters corresponding to fabric materials can be obtained from the emotion regulation parameter library based on the fatigue emotion and the interior material (fabric) of the area where ambient lighting source 3 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 3; for ambient lighting source 4, fatigue regulation parameters corresponding to leather materials can be obtained from the emotion regulation parameter library based on the fatigue emotion and the interior material (leather) of the area where ambient lighting source 4 is located, thus obtaining the negative emotion regulation parameters corresponding to ambient lighting source 4.

[0064] S108 controls each ambient lighting source to provide ambient lighting based on the negative emotion regulation parameters corresponding to each ambient lighting source, in order to regulate the driver's emotions.

[0065] In this embodiment, each ambient lighting source is independently controlled based on the negative emotion regulation parameters corresponding to each ambient lighting source, so as to optimize the lighting effect of the emotion-regulating light of each ambient lighting source, thereby optimizing the overall emotion regulation effect.

[0066] In some embodiments, controlling the illumination of each ambient lighting source based on the negative emotion modulation parameter corresponding to each ambient lighting source may include: Based on the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting parameters of the ambient lighting source are determined; the ambient lighting source is then controlled to provide ambient lighting based on these lighting parameters.

[0067] Specifically, for each ambient lighting source, the lighting parameters of the ambient lighting source can be calculated based on the negative emotion regulation parameters corresponding to that ambient lighting source, and then the lighting source can be controlled to illuminate based on those lighting parameters.

[0068] Among the negative emotion regulation parameters, color parameters may include hue range, and brightness parameters may include base brightness and brightness compensation coefficient. Lighting parameters may include lighting hue and lighting brightness. The lighting parameters can be calculated based on the hue range in the negative emotion regulation parameters corresponding to the ambient lighting source, and the lighting brightness can be calculated based on the base brightness and brightness compensation system in the negative emotion regulation parameters corresponding to the ambient lighting source.

[0069] Assume the minimum hue value in the hue range of the negative emotion regulation parameters is The maximum hue value is The base brightness is The brightness compensation coefficient is The hue of the lighting is The lighting brightness is: The above-mentioned determination of the lighting parameters of an ambient lighting source based on the negative emotion modulation parameters corresponding to the ambient lighting source may include: Based on the maximum and minimum hue values ​​of the negative emotion modulation parameters corresponding to the ambient lighting source, the hue of the ambient lighting source is calculated using the following formula:

[0070] Based on the base luminance and luminance compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the luminance of the ambient lighting source is calculated using the following formula:

[0071] in, It is a random fluctuation value of hue, which can be changed according to the needs of the scenario. In scenarios where color variability is required, the fluctuation value can be increased, and in scenarios where stable color is required, the fluctuation value can be decreased.

[0072] Using the above example, assuming the driver's emotion is anger, then the negative emotion adjustment parameters corresponding to ambient lighting source 1 are the same as those corresponding to hard plastic material, including: a first color parameter and a first brightness parameter; the negative emotion adjustment parameters corresponding to ambient lighting source 2 are the same as those corresponding to slush molding material, including: a second color parameter and a second brightness parameter; the negative emotion adjustment parameters corresponding to ambient lighting source 3 are the same as those corresponding to fabric material, including: a third color parameter and a third brightness parameter; and the negative emotion adjustment parameters corresponding to ambient lighting source 4 are the same as those corresponding to leather material, including: a fourth color parameter and a fourth brightness parameter.

[0073] Assuming the first color parameter is: minimum hue value 180, maximum hue value 200, and the first brightness parameter is: base brightness 25%, brightness compensation coefficient 0.95, then based on the above formula, the lighting parameters of ambient lighting source 1 can be calculated as: lighting hue 191, lighting brightness 23.75%. Then, the ambient lighting source 1 is controlled to provide lighting according to these lighting parameters.

[0074] Assuming the second color parameter is: minimum hue value 120, maximum hue value 150, and the second brightness parameter is: base brightness 55%, brightness compensation coefficient 1, then based on the above formula, the lighting parameters of the ambient lighting source 2 can be calculated as: lighting hue 135, lighting brightness 55%. Then, the ambient lighting source 2 is controlled to provide lighting according to these lighting parameters.

[0075] Assuming the third color parameter is: minimum hue value 150, maximum hue value 180, and the third brightness parameter is: base brightness 50%, brightness compensation coefficient 1.05, then based on the above formula, the lighting parameters of the ambient lighting source 3 can be calculated as: lighting hue 164, lighting brightness 52.5%. Then, the ambient lighting source 3 is controlled to provide lighting according to these lighting parameters.

[0076] Assuming the fourth color parameter is: minimum hue value 200, maximum hue value 220, and the fourth brightness parameter is: base brightness 45%, brightness compensation coefficient 1.12, then based on the above formula, the lighting parameters of the ambient lighting source 4 can be calculated as: lighting hue 210, lighting brightness 50.4%. Then, the ambient lighting source 4 is controlled to provide illumination according to these lighting parameters.

[0077] In the above implementation, the illumination brightness of the ambient lighting source is calculated based on the base brightness and brightness compensation coefficient in the negative emotion regulation parameters. In some embodiments, the illumination brightness of the ambient lighting source can be further calculated by combining the ambient light influence factor and the facial light compensation factor to fully consider the environmental influence and more accurately determine the illumination brightness. The above-mentioned determination of the illumination parameters of the ambient lighting source based on the negative emotion regulation parameters corresponding to the ambient lighting source may include: The step of determining the lighting parameters of the ambient lighting source based on the negative emotion modulation parameters corresponding to the ambient lighting source includes: Based on the maximum and minimum hue values ​​in the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting hue in the lighting parameters of the ambient lighting source is calculated using the following formula: in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue; in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue; Based on the base brightness and brightness compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the illumination brightness in the illumination parameters of the ambient lighting source is calculated using the following formula:

[0078] in, Indicates the brightness of the lighting. Indicates the base brightness. Indicates the brightness compensation coefficient. Indicates the influence factor of ambient light. Indicates facial light compensation factor. This indicates the minimum brightness value of the ambient lighting source. This indicates the maximum brightness value of the ambient lighting source.

[0079] Represents the clamping function, if , ,like ,but ,like ,but .

[0080] The ambient light influence factor can be obtained through appropriate methods.

[0081] In some embodiments, ambient light intensity can be obtained, and based on the ambient light intensity, the ambient light influence factor can be calculated using the following formula:

[0082] in, This indicates the influence factor of ambient light. Indicates ambient light intensity. This represents the minimum influence factor of ambient light. This represents the environmental intensity attenuation coefficient. These parameters can be empirical values. Ambient light intensity, on the other hand, can be specifically obtained through an ambient light sensor.

[0083] Facial compensation factors can be obtained through appropriate means.

[0084] In some implementations, the driver's facial brightness can be obtained, and based on this brightness, a facial compensation factor can be calculated using the following formula:

[0085] in ， This indicates the facial light compensation factor. This indicates the brightness of the driver's face. This represents the brightness compensation intensity coefficient. This can be an empirical value. The driver's facial brightness can be the average brightness value of the driver's face, which can be a value between 0 and 255, and can be specifically obtained through a camera or sensor.

[0086] For example, a driver's facial image can be acquired through a camera, face recognition can be performed on the facial image, the driver's facial region can be extracted, the facial region can be converted from a color image to a grayscale image, the average value of the pixels in the grayscale image can be calculated, and the average value can be determined as the driver's facial brightness.

[0087] In the above embodiments, by performing emotion detection on the driver in the vehicle, the driver's emotion is determined based on the emotion detection results. When the driver's emotion is negative, negative emotion adjustment parameters corresponding to each ambient lighting source are obtained based on the driver's emotion and the interior material of the area where each ambient lighting source is located. Then, based on the negative emotion adjustment parameters corresponding to each ambient lighting source, the ambient lighting of each ambient lighting source is controlled. This allows for targeted adjustment of each ambient lighting source according to the interior material of the area where each ambient lighting source is located, making the emotion adjustment light of each ambient lighting source compatible with the interior material of the area where each ambient lighting source is located, improving the effect of the emotion adjustment light of each ambient lighting source, thereby optimizing the driver's emotion adjustment effect.

[0088] In this embodiment, when the driver is in a negative mood, in addition to adjusting the ambient lighting as described above, other mood-regulating operations can be used to further optimize the mood-regulating effect. These other mood-regulating operations include, but are not limited to: playing mood-regulating prompts via voice, playing mood-regulating music, activating the in-car fragrance system, activating the neck cooling mode, and activating the seat airflow mode.

[0089] In some embodiments, the driver emotion regulation method may further include: If the driver is experiencing a negative emotion, perform one or more of the following negative emotion regulation procedures: Based on the driver's mood, an emotional adjustment prompt is played via voice. Based on the driver's mood, play mood-regulating music; Based on the driver's mood, activate the mood-regulating fragrance.

[0090] Specifically, the voice-activated mood-regulating prompts, mood-regulating music, and mood-regulating fragrances are all determined by the driver's mood.

[0091] Using the example above, if the driver is angry, the following steps can be taken: The system can play voice prompts to regulate anger, such as prompts for the driver to adjust their breathing. These prompts may include breathing rhythm prompts to alleviate anger, such as a 4-2-6 breathing rhythm prompt; play soothing music to relieve anger, such as playing low-decibel soothing music; or activate anger-regulating fragrances, such as activating a soothing fragrance.

[0092] If the driver is fatigued, the following steps can be taken: The system can play voice prompts to regulate fatigue, such as prompts to help the driver concentrate; play fatigue-regulating music, such as upbeat music; and activate fatigue-regulating aromatherapy, such as invigorating aromatherapy.

[0093] In the above embodiments, by adjusting the ambient lighting to regulate the driver's emotions, and combining this with various driver emotion regulation operations, the effect of driver emotion regulation can be further optimized by combining multiple emotion regulation methods.

[0094] In the above embodiments, driver emotion is detected, and the driver's emotion is determined based on the detection results. Corresponding adjustment operations are then performed based on the driver's emotion, and these adjustments depend on the determined driver emotion. If the reliability of the determined driver emotion is poor, the emotion adjustment operation may be mistakenly triggered. To improve the reliability of driver emotion determination and avoid mistakenly triggering emotion adjustment operations, driver emotion can be detected from multiple dimensions. The driver's emotion can be determined based on the results of these multiple dimensions, thereby improving the reliability of driver emotion detection and preventing mistaken triggering of emotion adjustment operations.

[0095] In some embodiments, the above-described emotion detection of the driver in the vehicle to obtain the emotion detection result may include: The driver's emotions are detected across multiple dimensions, and the emotion detection results for each dimension are obtained. Based on the emotion detection results for each dimension, the driver's emotions are determined.

[0096] Specifically, the multiple dimensions can include: facial image feature dimension, voice feature dimension, physiological feature dimension, and driving feature dimension. For example, facial images of the driver can be acquired, and based on these images, emotion detection can be performed to obtain emotion detection results for the facial image feature dimension. Voice data of the driver can be acquired, and based on this data, emotion detection can be performed to obtain emotion detection results for the voice feature dimension. Physiological feature data of the driver can be acquired, and based on this data, emotion detection can be performed to obtain emotion detection results for the physiological feature dimension. Finally, driving feature data of the driver can be acquired, and emotion detection results can be obtained based on the driving feature dimension.

[0097] After obtaining the emotion detection results of the driver's facial image features, voice features, physiological features, and driving features, the number of identical emotion detection results can be determined based on the above-mentioned emotion detection results. If the number is greater than or equal to the number threshold, the driver's emotion can be determined based on the identical emotion detection results.

[0098] The number of identical emotion detection results can be represented by the number of dimensions in which the emotion detection results are identical. The specific methods for performing emotion detection in each dimension can be found in the aforementioned embodiments, and will not be repeated here.

[0099] Using the example above, assuming the quantity threshold is 3, if the emotion detection result for the facial image feature dimension is anger, the emotion detection result for the voice feature dimension is anger, the emotion detection result for the physiological feature dimension is anger, and the emotion detection result for the driving feature dimension is normal, then the number of the same emotion detection result of anger is 3, which is equal to the quantity threshold, and it can be determined that the driver's emotion is anger.

[0100] Figure 2 This is a flowchart illustrating some embodiments of the driver emotion regulation method of this application. The following is in conjunction with... Figure 2 The driver emotion regulation method of this application embodiment will be further described.

[0101] like Figure 2 As shown, in some embodiments of this application, the driver emotion regulation method may include the following process: S202-1, Obtain the driver's current facial image, perform emotion detection on the driver based on the current facial image, and obtain the emotion detection result of the facial image feature dimension.

[0102] As an example, the emotion detection result for the facial image feature dimension could be: anger.

[0103] S202-2, Obtain the driver's current voice data, perform emotion detection on the driver based on the current voice data, and obtain the emotion detection result of the voice feature dimension.

[0104] Using the example above, the emotion detection result for the voice feature dimension could be: anger.

[0105] S202-3, Obtain the driver's current physiological characteristic data, perform emotion detection on the driver based on the current physiological characteristic data, and obtain the emotion detection results in the physiological characteristic dimension.

[0106] Using the example above, the emotion detection result for the physiological characteristic dimension could be: anger.

[0107] S202-4, Obtain the driver's current driving characteristic data, detect the driver's emotions based on the current driving characteristic data, and obtain the emotion detection results of the driving characteristic dimension.

[0108] Using the example above, the emotion detection result for the driving feature dimension can be: normal.

[0109] S204, determine the number of identical emotion detection results.

[0110] Using the example above, the same emotion detection result is anger, and the number is 3.

[0111] S206, if the number of identical emotion detection results is greater than or equal to the number threshold, the driver's emotion is determined based on the identical emotion detection results.

[0112] Using the example above, with a quantity threshold of 3, the number of angry results equals this threshold. Based on the detection result of anger, the driver's emotion can be determined to be angry.

[0113] S208, when the driver's mood is negative, obtains the negative mood regulation parameters corresponding to each ambient lighting source in the vehicle from the mood regulation parameter library based on the driver's mood and the interior material of each ambient lighting source area.

[0114] Continuing with the example above, the driver's emotion is anger, and anger is a negative emotion. Assume there are two ambient lighting sources in the vehicle: Ambient Lighting Source 1 and Ambient Lighting Source 2. Based on the emotion of anger and the interior material 1 of the area where Ambient Lighting Source 1 is located, we can obtain the anger adjustment parameter 1 corresponding to interior material 1, thus obtaining the negative emotion adjustment parameter for Ambient Lighting Source 1. The negative emotion adjustment parameter for Ambient Lighting Source 1 is Anger Adjustment Parameter 1. Similarly, based on the emotion of anger and the interior material 2 of the area where Ambient Lighting Source 2 is located, we can obtain the anger adjustment parameter 2 corresponding to interior material 2, thus obtaining the negative emotion adjustment parameter for Ambient Lighting Source 2. The negative emotion adjustment parameter for Ambient Lighting Source 2 is Anger Adjustment Parameter 2.

[0115] S210, Calculate the lighting parameters for each ambient lighting source based on the negative emotion modulation parameters corresponding to each ambient lighting source.

[0116] Following the example above, the lighting parameter 1 of ambient lighting source 1 can be calculated based on the negative emotion regulation parameter corresponding to ambient lighting source 1, namely, the anger regulation parameter 1. Similarly, the lighting parameter 2 of ambient lighting source 2 can be calculated based on the negative emotion regulation parameter corresponding to ambient lighting source 2, namely, the anger regulation parameter 2.

[0117] S212 controls each ambient lighting source to provide ambient lighting based on the lighting parameters of each ambient lighting source.

[0118] Following the above example, ambient lighting source 1 can be controlled to provide ambient lighting based on its lighting parameters. Similarly, ambient lighting source 2 can be controlled to provide ambient lighting based on its lighting parameters.

[0119] In the above embodiments, by detecting driver emotions in multiple dimensions and determining the driver's emotions based on the multi-dimensional emotion detection results, and by obtaining negative emotion adjustment parameters for each ambient lighting source based on the driver's emotions and the material of the area where each ambient lighting source is located in the vehicle, and by controlling each ambient lighting source to provide ambient lighting based on the negative emotion adjustment parameters, the reliability of driver emotion detection can be improved. Based on more reliable driver emotions and the interior material of the area where each ambient lighting source is located, more reliable control can be performed on each ambient lighting source, thereby improving both the effect and reliability of emotion regulation.

[0120] In the above embodiments, anger and fatigue are used as examples to illustrate the emotion regulation method of this application. It is understood that the driver's negative emotions are not limited to anger and fatigue. For example, the driver's negative emotions may also include irritability, anxiety, etc. Other negative emotions can also be regulated based on the emotion regulation method of this application, which will not be elaborated here.

[0121] In addition, this application also provides a driver emotion regulation device. Figure 3 This is a schematic diagram of a driver emotion regulation device according to some embodiments of this application. For example... Figure 3 As shown, the driver emotion regulation device 300 may include: The emotion detection module 310 is used to detect the emotions of the driver in the vehicle and obtain the emotion detection results. The emotion determination module 320 is used to determine the driver's emotion based on the emotion detection results; The parameter acquisition module 330 is used to acquire negative emotion adjustment parameters corresponding to each ambient lighting source based on the driver's emotion and the interior material of the area where each ambient lighting source is located in the vehicle when the driver's emotion is negative. The lighting adjustment module 340 is used to control each ambient lighting source to provide ambient lighting based on the negative emotion adjustment parameters corresponding to each ambient lighting source, so as to adjust the driver's emotions.

[0122] In some embodiments of this application, the parameter acquisition module 330 is specifically used for: Based on the driver's mood and the interior material of the area where the ambient lighting source is located, the negative emotion regulation parameters corresponding to the ambient lighting source are obtained from the emotion regulation parameter library.

[0123] Lighting adjustment module 340 is specifically used for: Based on the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting parameters of the ambient lighting source are determined; The ambient lighting source is controlled to provide ambient lighting based on the lighting parameters.

[0124] In some embodiments of this application, the negative emotion modulation parameters include: a maximum hue value and a minimum hue value; the lighting parameters include: lighting hue; Lighting adjustment module 340 is specifically used for: Based on the maximum and minimum hue values ​​in the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting hue in the lighting parameters of the ambient lighting source is calculated using the following formula: in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue.

[0125] in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue; In some embodiments, the negative emotion modulation parameters include: base brightness and brightness compensation coefficient, and the lighting parameters include: lighting brightness; Lighting adjustment module 340 is specifically used for: Based on the base brightness and brightness compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the illumination brightness in the illumination parameters of the ambient lighting source is calculated using the following formula:

[0126] in, Indicates the brightness of the lighting. This represents the clamping function. Indicates the base brightness. Indicates the brightness compensation coefficient. Indicates the influence factor of ambient light. Indicates facial light compensation factor. This indicates the minimum brightness value of the ambient lighting source. This indicates the maximum brightness value of the ambient lighting source.

[0127] In some embodiments, the lighting adjustment module 340 is specifically used for: Obtain ambient light levels; Based on the ambient illuminance, the ambient light influence factor is calculated using the following formula:

[0128] in, This represents the minimum influence factor of ambient light. Indicates the environmental intensity attenuation coefficient. Indicates ambient light intensity; In some embodiments, the lighting adjustment module 340 is specifically used for: Obtain the driver's facial brightness; Based on the driver's facial brightness, the facial compensation factor is calculated using the following formula:

[0129] in, This indicates the brightness value of the driver's face. This represents the brightness compensation intensity coefficient.

[0130] In some embodiments of this application, the driver's emotion is a negative emotion, including one of the following: the driver's emotion is anger; the driver's emotion is fatigue. When the driver's emotion is anger, the negative emotion adjustment parameters corresponding to the ambient lighting source include: anger emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located; When the driver is experiencing fatigue, the negative emotion adjustment parameters corresponding to the ambient lighting source include: fatigue emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located.

[0131] In some embodiments of this application, the emotion detection module 310 is specifically used for: The driver's emotions are detected in multiple dimensions to obtain the emotion detection result for each of the multiple dimensions; wherein, the multiple dimensions include: facial image feature dimension, voice feature dimension, physiological feature dimension and driving feature dimension; The emotion determination module 320 is specifically used for: Based on the emotion detection results of each dimension, the driver's emotion is determined.

[0132] In some embodiments of this application, the emotion detection module 310 includes: The first detection unit is used to acquire the driver's facial image, perform emotion detection on the driver based on the facial image, and obtain the emotion detection result of the facial image feature dimension; The second detection unit is used to acquire the driver's voice data, perform emotion detection on the driver based on the voice data, and obtain the emotion detection result of the voice feature dimension. The third detection unit is used to acquire the driver's physiological characteristic data, perform emotion detection on the driver based on the physiological characteristic data, and obtain the emotion detection result of the physiological characteristic dimension. The fourth detection unit is used to acquire the driver's driving characteristic data, perform emotion detection on the driver based on the driving characteristic data, and obtain the emotion detection result of the driving characteristic dimension.

[0133] In some embodiments of this application, the emotion determination module 330 is specifically used for: The quantity determination unit is used to determine the number of identical emotion detection results based on the emotion detection results of each dimension. An emotion determination unit is used to determine the driver's emotion based on the same emotion detection result if the quantity is greater than or equal to a quantity threshold.

[0134] In some embodiments of this application, the device 300 includes: The voice adjustment module is used to play emotion adjustment prompts by voice according to the driver's emotions; The music adjustment module is used to play mood-adjusting music according to the driver's mood. The fragrance adjustment module is used to activate a mood-regulating fragrance based on the driver's mood.

[0135] The driver emotion regulation device described in this application embodiment detects the driver's emotions in the vehicle, obtains the emotion detection results, determines the driver's emotions based on the emotion detection results, and when the driver's emotions are negative, it obtains negative emotion regulation parameters corresponding to each ambient lighting source based on the driver's emotions and the interior material of the area where each ambient lighting source is located. Then, based on the negative emotion regulation parameters corresponding to each ambient lighting source, it controls each ambient lighting source to provide ambient lighting. It can make targeted adjustments to each ambient lighting source according to the interior material of the area where each ambient lighting source is located, so that the emotion regulation light of each ambient lighting source is adapted to the interior material of the area where each ambient lighting source is located, thereby improving the effect of the emotion regulation light of each ambient lighting source and optimizing the driver's emotion regulation effect.

[0136] Regarding the driver emotion regulation device in the above embodiments, the specific manner in which each unit performs its operation has been described in detail in the embodiments of the driver emotion regulation method, and will not be elaborated here.

[0137] Based on the same technical concept, and corresponding to the methods provided in the above embodiments, this application also provides a driver emotion regulation device for performing the methods provided in the above embodiments.

[0138] Driver emotion regulation devices can vary considerably depending on their configuration and performance, and may include one or more processors and memories. The memory stores computer programs. The processor executes the computer programs to implement the aforementioned driver emotion regulation methods.

[0139] When using an integrated unit, the driver emotion regulation device may include a processing module and a storage module. The processing module is used to control and manage the vehicle's actions. The storage module is used to support the vehicle in executing program code and data.

[0140] The processing module may be a processor or a controller, which can implement or execute various exemplary logic blocks, modules, and circuits as disclosed in this application. The processor may also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc., and the storage module may be a memory.

[0141] Figure 4 This is a schematic diagram of the structure of a driver emotion regulation device according to some embodiments of this application. For example... Figure 4 As shown, the driver emotion regulation device 400 includes a memory 410 and a processor 420. The memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Emotional detection was performed on the driver in the vehicle, and the emotional detection results were obtained. The driver's emotion is determined based on the emotion detection results; When the driver's mood is negative, based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle, the negative mood adjustment parameter corresponding to each ambient lighting source is obtained; Based on the negative emotion regulation parameters corresponding to each ambient lighting source, the ambient lighting is controlled to regulate the driver's emotions.

[0142] In some embodiments of this application, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Based on the driver's mood and the interior material of the area where the ambient lighting source is located, obtain the negative emotion regulation parameters corresponding to the ambient lighting source from the emotion regulation parameter library; The step of controlling the ambient lighting based on the negative emotion modulation parameters corresponding to each ambient lighting source includes: Based on the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting parameters of the ambient lighting source are determined; The ambient lighting source is controlled to provide ambient lighting based on the lighting parameters.

[0143] In some embodiments of this application, the negative emotion modulation parameters include: a maximum hue value and a minimum hue value; the lighting parameters include: lighting hue; the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Based on the maximum and minimum hue values ​​in the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting hue in the lighting parameters of the ambient lighting source is calculated using the following formula:

[0144] in, Indicates the hue of the illumination. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue.

[0145] In some embodiments, the negative emotion modulation parameters include: base brightness and brightness compensation coefficient; the lighting parameters include: lighting brightness; a computer program is stored in memory 410, and a processor 420 is used to execute the computer program to implement the following process: Based on the base brightness and brightness compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the illumination brightness in the illumination parameters of the ambient lighting source is calculated using the following formula:

[0146] in, Indicates the brightness of the lighting. This represents the clamping function. Indicates the base brightness. Indicates the brightness compensation coefficient. Indicates the influence factor of ambient light. Indicates facial light compensation factor. This indicates the minimum brightness value of the ambient lighting source. This indicates the maximum brightness value of the ambient lighting source.

[0147] In some embodiments, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Obtain ambient light levels; Based on the ambient illuminance, the ambient light influence factor is calculated using the following formula:

[0148] in, This represents the minimum influence factor of ambient light. Indicates the environmental intensity attenuation coefficient. Indicates ambient light intensity; Obtain the driver's facial brightness; Based on the driver's facial brightness, the facial compensation factor is calculated using the following formula:

[0149] in, This indicates the brightness value of the driver's face. This represents the brightness compensation intensity coefficient.

[0150] In some embodiments of this application, the driver's emotion is a negative emotion, including one of the following: the driver's emotion is anger; the driver's emotion is fatigue. When the driver's emotion is anger, the negative emotion adjustment parameters corresponding to the ambient lighting source include: anger emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located; When the driver is experiencing fatigue, the negative emotion adjustment parameters corresponding to the ambient lighting source include: fatigue emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located.

[0151] In some embodiments of this application, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: The driver's emotions are detected in multiple dimensions to obtain the emotion detection result for each of the multiple dimensions; wherein, the multiple dimensions include: facial image feature dimension, voice feature dimension, physiological feature dimension and driving feature dimension; Determining the driver's emotion based on the emotion detection results includes: Based on the emotion detection results of each dimension, the driver's emotion is determined.

[0152] In some embodiments of this application, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Acquire the driver's facial image, perform emotion detection on the driver based on the facial image, and obtain the emotion detection result of the facial image feature dimension; Acquire the driver's voice data, perform emotion detection on the driver based on the voice data, and obtain the emotion detection result of the voice feature dimension; Obtain the driver's physiological characteristic data, perform emotion detection on the driver based on the physiological characteristic data, and obtain the emotion detection result of the physiological characteristic dimension; The driver's driving characteristic data is obtained, and the driver's emotion is detected based on the driving characteristic data to obtain the emotion detection result of the driving characteristic dimension.

[0153] In some embodiments of this application, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: Based on the emotion detection results for each dimension, determine the number of identical emotion detection results; If the quantity is greater than or equal to the quantity threshold, the driver's emotion is determined based on the same emotion detection result.

[0154] In some embodiments of this application, the memory 410 stores a computer program, and the processor 420 executes the computer program to implement the following process: If the driver is experiencing a negative emotion, perform one or more of the following negative emotion regulation procedures: Based on the driver's mood, an emotional adjustment prompt is played via voice. Based on the driver's mood, play mood-regulating music; Based on the driver's mood, activate the mood-regulating fragrance.

[0155] In addition, this application embodiment also provides a vehicle including the above-mentioned driver emotion regulation device 400.

[0156] In addition, corresponding to the methods provided in the above embodiments, based on the same technical concept, this application also provides a computer-readable storage medium (including but not limited to disk storage, CD-ROM, optical storage, etc.) storing computer program code. When the computer program code is run on a computer, the computer executes the above-mentioned related method steps to realize the driver emotion regulation method provided in the above embodiments.

[0157] In addition, corresponding to the methods provided in the above embodiments, based on the same technical concept, this application also provides a computer program product. When the computer program product is run on a computer, it causes the computer to perform the above-mentioned related steps to realize the driver emotion regulation method provided in the above embodiments.

[0158] The beneficial effects of the above embodiments can be referred to the beneficial effects of the corresponding methods provided above, and will not be repeated here.

[0159] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0160] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0161] In the description of this application, it should be understood that if the terms "upper", "lower", "front", "rear", "left" and "right" are used to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the position or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0162] It should be noted that, in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0163] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for regulating driver emotions, characterized in that, The method includes: Emotional detection was performed on the driver in the vehicle, and the emotional detection results were obtained. The driver's emotion is determined based on the emotion detection results; When the driver's mood is negative, based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle, the negative mood adjustment parameter corresponding to each ambient lighting source is obtained. Based on the negative emotion regulation parameters corresponding to each ambient lighting source, the ambient lighting is controlled to regulate the driver's emotions.

2. The method according to claim 1, characterized in that, Based on the driver's mood and the interior material of the area where each ambient lighting source is located in the vehicle, negative emotion modulation parameters corresponding to each ambient lighting source are obtained, including: Based on the driver's mood and the interior material of the area where the ambient lighting source is located, obtain the negative emotion regulation parameters corresponding to the ambient lighting source from the emotion regulation parameter library; The step of controlling the ambient lighting based on the negative emotion modulation parameters corresponding to each ambient lighting source includes: Based on the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting parameters of the ambient lighting source are determined; The ambient lighting source is controlled to provide ambient lighting based on the lighting parameters.

3. The method according to claim 2, characterized in that, The negative emotion regulation parameters include: maximum hue value and minimum hue value; the lighting parameters include: lighting hue; The step of determining the lighting parameters of the ambient lighting source based on the negative emotion modulation parameters corresponding to the ambient lighting source includes: Based on the maximum and minimum hue values ​​in the negative emotion modulation parameters corresponding to the ambient lighting source, the lighting hue in the lighting parameters of the ambient lighting source is calculated using the following formula: in, Indicates the hue of the light. Indicates the maximum hue value. Represents the minimum hue value. This represents the random fluctuation value of hue.

4. The method according to claim 2, characterized in that, The negative emotion regulation parameters include: base brightness and brightness compensation coefficient; the lighting parameters include: lighting brightness; determining the lighting parameters of the ambient lighting source based on the negative emotion regulation parameters corresponding to the ambient lighting source includes: Based on the base brightness and brightness compensation coefficient in the negative emotion modulation parameters corresponding to the ambient lighting source, the illumination brightness in the illumination parameters of the ambient lighting source is calculated using the following formula: in, Indicates the brightness of the lighting. This represents the clamping function. Indicates the base brightness. Indicates the brightness compensation coefficient. Indicates the ambient light influence factor. Indicates facial light compensation factor. This indicates the minimum brightness value of the ambient lighting source. This indicates the maximum brightness value of the ambient lighting source.

5. The method according to claim 4, characterized in that, The method further includes: Obtain ambient light levels; Based on the ambient illuminance, the ambient light influence factor is calculated using the following formula: in, This represents the minimum influence factor of ambient light. Indicates the environmental intensity attenuation coefficient. Indicates ambient light intensity; Obtain the driver's facial brightness; Based on the driver's facial brightness, the facial compensation factor is calculated using the following formula: in, This indicates the brightness value of the driver's face. This represents the brightness compensation intensity coefficient.

6. The method according to claim 2, characterized in that, The driver's negative emotion includes one of the following: the driver's emotion is anger; the driver's emotion is fatigue. When the driver's emotion is anger, the negative emotion adjustment parameters corresponding to the ambient lighting source include: anger emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located; When the driver is experiencing fatigue, the negative emotion adjustment parameters corresponding to the ambient lighting source include: fatigue emotion adjustment parameters corresponding to the interior material of the area where the ambient lighting source is located.

7. The method according to claim 1, characterized in that, The process of performing emotion detection on the driver in the vehicle and obtaining the emotion detection results includes: The driver's emotions are detected in multiple dimensions to obtain the emotion detection result for each of the multiple dimensions; wherein, the multiple dimensions include: facial image feature dimension, voice feature dimension, physiological feature dimension and driving feature dimension; Based on the emotion detection results for each dimension, determine the number of identical emotion detection results; If the quantity is greater than or equal to the quantity threshold, the driver's emotion is determined based on the same emotion detection result.

8. A driver emotion regulation device, characterized in that, The device includes: The emotion detection module is used to detect the driver's emotions in the vehicle and obtain the emotion detection results. An emotion determination module is used to determine the driver's emotion based on the emotion detection results; The parameter acquisition module is used to acquire negative emotion adjustment parameters corresponding to each ambient lighting source based on the driver's emotion and the interior material of the area where each ambient lighting source is located in the vehicle when the driver's emotion is negative. The lighting adjustment module is used to control each ambient lighting source to provide ambient lighting based on the negative emotion adjustment parameters corresponding to each ambient lighting source, so as to adjust the driver's emotions.

9. A driver emotion regulation device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program to implement the driver emotion regulation method according to any one of claims 1 to 7.

10. A vehicle, characterized in that, include: The driver emotion regulation device as described in claim 9.

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