Method and device for adjusting emotion of driver by intelligent cabin and electronic equipment

Abstract

The embodiment of the invention discloses a method and device for adjusting the emotion of a driver by an intelligent cabin and electronic equipment, and the method comprises the steps: defining the current level of a negative emotional state if the emotional state of the driver is the negative emotional state; determining an emotion regulation node according to the current level of the negative emotion state and an emotion regulation model; in the emotion regulation node, an emotion regulation scheme is constructed based on a light effect, a music effect and a voice effect in the intelligent cabin, the emotion regulation scheme is matched with the current level of the negative emotion state, and at the moment, emotion control of a driver in the intelligent cabin is introduced. And determining an emotion regulation node according to the current grade of the negative emotion state and the emotion regulation model, so that the emotion regulation scheme is matched with the current grade of the negative emotion state, and the emotion score and the score interval are compared to define an intelligent control mode or a manual operation mode of the intelligent cabin.

Description

Technical Field

[0001] The present invention relates to the technical field of smart cockpits, and in particular to a method, device and electronic equipment for regulating the emotions of a driver in a smart cockpit. Background Art

[0002] With the development of technology, more and more drivers may experience road rage during daily driving, leading to driving safety hazards and deteriorating driving environment. Negative emotional states not only affect the driver's emotions and behavior, but also have a negative impact on the safety of other road users and the overall traffic order. At this time, the smart cockpit provides a driving environment for the driver to operate. However, the driver may have negative emotions during the operation due to road conditions, but the smart cockpit cannot regulate the driver's negative emotions. Summary of the invention

[0003] In view of this, an embodiment of the present invention provides a method, device and electronic device for regulating the emotions of the driver in the smart cockpit, introduces the emotion management of the driver in the smart cockpit, and determines the emotion regulation node according to the current level of the negative emotional state and the emotion regulation model, so as to match the emotion regulation plan with the current level of the negative emotional state, so as to track the emotion score of the driver during the emotion regulation plan, compare the emotion score and the score range, so as to define the intelligent control mode or manual operation mode of the smart cockpit, thereby ensuring the intelligent control of the smart cockpit.

[0004] In a first aspect, an embodiment of the present invention provides a method for regulating the emotions of a driver in a smart cockpit, comprising:

[0005] Collect the facial features of the driver in the smart cockpit and define the driver's emotional state based on the facial features;

[0006] If the driver's emotional state is a negative emotional state, then defining a current level of the negative emotional state;

[0007] Determine the emotion regulation node based on the current level of negative emotion state and the emotion regulation model;

[0008] In the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state;

[0009] Collecting the driver's emotion change parameters during the emotion regulation program, and defining an emotion score according to the emotion change parameters;

[0010] The emotion scores and score ranges are compared to define the intelligent control mode or manual operation mode of the smart cockpit.

[0011] Optionally, collecting facial features of a driver in the smart cockpit and defining the driver's emotional state according to the facial features includes:

[0012] Collect facial features of the driver in the smart cockpit;

[0013] Dividing a plurality of feature areas based on the facial features of the driver;

[0014] Defining a plurality of sub-features based on the identification of a plurality of feature regions;

[0015] The driver's emotional state is defined based on multiple sub-features.

[0016] Optionally, if the driver's emotional state is a negative emotional state, defining the current level of the negative emotional state includes:

[0017] Freeze the driver's emotional state;

[0018] defining negative emotion state based on the driver's emotion state and the negative emotion table;

[0019] The negative emotion states are traversed, and the current level of the negative emotion state is defined according to the emotion level of the driver.

[0020] Optionally, determining the emotion regulation node according to the current level of the negative emotion state and the emotion regulation model includes:

[0021] Freeze the current level of negative emotional state;

[0022] Relate current levels of negative emotional states and models of emotion regulation;

[0023] An emotion regulation node is determined based on the current level of the negative emotion state and the emotion regulation model, and emotion management is performed in the emotion regulation node.

[0024] Optionally, in the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotional state, including:

[0025] In this emotion regulation node, the lighting effects, music effects, and voice effects in the smart cockpit are collected;

[0026] Build emotion regulation combinations based on lighting effects, music effects, and voice effects;

[0027] constructing an emotion regulation scheme based on multiple emotion regulation combinations and the current level of negative emotion states;

[0028] Associate emotion regulation schemes with current levels of negative emotional states;

[0029] defining a matching coefficient between the emotion regulation scheme and the current level of the negative emotion state;

[0030] If the matching coefficient is greater than the preset matching threshold, the emotion regulation scheme matches the current level of the negative emotion state.

[0031] Optionally, collecting the driver's emotion change parameters during the emotion regulation program and defining an emotion score according to the emotion change parameters includes:

[0032] Drivers regulate emotions based on the emotion regulation program;

[0033] Collect the driver's emotion change parameters during the emotion regulation program;

[0034] Construct emotional combination factors based on multiple emotional change parameters;

[0035] The sentiment score is defined based on the sentiment combination factors and the sentiment scoring model.

[0036] Optionally, the collecting of the driver's emotion change parameters during the emotion regulation program and defining an emotion score according to the emotion change parameters also includes:

[0037]

[0038] S is the emotional assessment score. The score after adjusting negative emotions is S′. α and β are the influencing factors used to adjust negative emotional states.

[0039] When the S′ value remains above 0.8, the driver's operation will be taken over intelligently. When the S′ value is between [0.4, 0.8], the adjustment system will continue to effectively adjust the driver's emotions until the S′ value is less than 0.4, allowing the driver to enter a stable state.

[0040] Optionally, comparing the emotion scores and the score ranges to define the intelligent control mode or manual operation mode of the intelligent cockpit includes:

[0041] Freeze-frame emotion score;

[0042] Associate sentiment scores and multiple score ranges;

[0043] Compare the sentiment scores and multiple score intervals, and define the score intervals in which the sentiment scores are located;

[0044] The intelligent control mode or manual operation mode of the smart cockpit is defined based on the score range of the emotion score.

[0045] In a second aspect, an embodiment of the present invention provides a device for regulating the emotions of a driver in a smart cockpit, comprising:

[0046] The emotional state module is used to collect the facial features of the driver in the smart cockpit and define the emotional state of the driver based on the facial features;

[0047] a level module, for defining a current level of the negative emotional state if the driver's emotional state is a negative emotional state;

[0048] An emotion regulation node module, for determining an emotion regulation node according to a current level of a negative emotion state and an emotion regulation model;

[0049] An emotion regulation scheme module, used to construct an emotion regulation scheme in the emotion regulation node based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state;

[0050] The emotion score module is used to collect the emotion change parameters of the driver during the emotion regulation program and define the emotion score according to the emotion change parameters;

[0051] The mode module is used to compare the emotion scores and score ranges to define the intelligent control mode or manual operation mode of the smart cockpit.

[0052] In a third aspect, an embodiment of the present invention provides an electronic device, comprising: a housing, a processor, a memory, a circuit board and a power supply circuit, wherein the circuit board is placed inside the space enclosed by the housing, and the processor and the memory are arranged on the circuit board; the power supply circuit is used to supply power to various circuits or devices of the above-mentioned electronic device; the memory is used to store executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method described in any of the aforementioned implementation methods.

[0053] In a fourth aspect, an embodiment of the present invention further provides an application program, wherein the application program is executed to implement the method described in any embodiment of the present invention.

[0054] The embodiment of the present invention provides a method, device and electronic device for regulating the emotions of the driver in the smart cockpit, which collects the facial features of the driver in the smart cockpit and defines the emotional state of the driver according to the facial features; if the emotional state of the driver is a negative emotional state, the current level of the negative emotional state is defined; the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model; in the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotional state. At this time, the emotion control of the driver in the smart cockpit is introduced, and the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model, so that the emotion regulation scheme is matched with the current level of the negative emotional state, so as to track the emotion score of the driver during the emotion regulation scheme, compare the emotion score and the score range, so as to define the intelligent control mode or manual operation mode of the smart cockpit, thereby ensuring the intelligent control of the smart cockpit. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0056] Figure 1 is a flow chart of a method for regulating the emotions of a driver in a smart cockpit in an embodiment of the present invention;

[0057] Figure 2 is a flow chart of S11 of the method for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0058] Figure 3 is a flow chart of S12 of the method for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0059] Figure 4 is a flow chart of S13 of the method for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0060] Figure 5 is a flow chart of S14 of the method for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0061] Figure 6 is a flow chart of S15 of the method for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0062] Figure 7 is a flow chart of S16 of the method for regulating the driver's emotions in the intelligent cockpit in an embodiment of the present invention;

[0063] Figure 8 is a schematic diagram of emotion regulation of a driver according to a method for regulating the driver's emotions in a smart cockpit in an embodiment of the present invention;

[0064] Fig. 9 Schematic diagram of the composition of the device for regulating the driver's emotions in the smart cockpit in an embodiment of the present invention;

[0065] Fig.10 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0066] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. It should be clear that the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] This embodiment provides a method for regulating the emotions of the driver in an intelligent cockpit, so that different network filters can form a combination of control measures that adapt to themselves and improve the fault handling efficiency of each network filter.

[0068] Figure 1 FIG. 1 is a flow chart of a method for regulating the emotions of a driver in a smart cockpit according to a first embodiment of the present invention. Figures 1 to 9 As shown, an embodiment of the present invention provides a method for regulating the emotions of a driver in a smart cockpit, the method comprising:

[0069] S11, collecting facial features of the driver in the smart cockpit, and defining the driver's emotional state according to the facial features;

[0070] S12. If the driver's emotional state is a negative emotional state, define a current level of the negative emotional state;

[0071] S13, determining an emotion regulation node according to a current level of the negative emotion state and an emotion regulation model;

[0072] S14. In the emotion regulation node, construct an emotion regulation scheme based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state;

[0073] S15, collecting the driver's emotion change parameters during the emotion regulation program, and defining an emotion score according to the emotion change parameters;

[0074] S16. Compare the emotion scores and score ranges to define an intelligent control mode or a manual operation mode of the intelligent cockpit.

[0075] The application scenario of this embodiment is the control scenario of the smart cockpit. The facial features of the driver in the smart cockpit are collected, and the driver's emotional state is defined according to the facial features; if the driver's emotional state is a negative emotional state, the current level of the negative emotional state is defined; the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model; in the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotional state. At this time, the emotion control of the driver in the smart cockpit is introduced, and the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model, so that the emotion regulation scheme is matched with the current level of the negative emotional state, so as to track the driver's emotional score during the emotion regulation scheme process, and compare the emotional score and the score range to define the intelligent control mode or manual operation mode of the smart cockpit, thereby ensuring the intelligent control of the smart cockpit.

[0076] Combine the following Figures 2 to 9 , a method for adjusting the emotions of a driver in a smart cockpit according to an embodiment of the present invention is described in detail, the method comprising:

[0077] S11, collecting facial features of the driver in the smart cockpit, and defining the driver's emotional state according to the facial features;

[0078] S111. Collecting facial features of the driver in the smart cockpit;

[0079] S112, dividing a plurality of feature regions based on the facial features of the driver;

[0080] S113, defining a plurality of sub-features according to the identification of the plurality of feature regions;

[0081] S114. Define the driver's emotional state based on the multiple sub-features.

[0082] In an embodiment of the present invention, facial features of a driver in a smart cockpit are collected to facilitate emotional control based on the driver's facial features. At this time, multiple feature areas are divided based on the driver's facial features, and the multiple feature areas are controlled, so that multiple sub-features are defined based on the identification of the multiple feature areas, and then the driver's emotional state is defined based on the multiple sub-features, thereby ensuring the accuracy of the driver's emotional state.

[0083] S12. If the driver's emotional state is a negative emotional state, define a current level of the negative emotional state;

[0084] S121, freeze the driver's emotional state;

[0085] S122, defining a negative emotional state based on the driver's emotional state and the negative emotional table;

[0086] S123, traversing negative emotional states, and defining a current level of the negative emotional state according to the driver's emotional level.

[0087] In an embodiment of the present invention, the emotional state of the driver is frozen, and a negative emotional state or a positive emotional state is defined for the driver's emotional state, so as to facilitate the management of the negative emotional state. At this time, the negative emotional state is defined based on the driver's emotional state and the negative emotion table; the negative emotional state is traversed, and the current level of the negative emotional state is defined according to the driver's emotional level, thereby introducing the current level of falling into the negative emotional state, so as to facilitate the hierarchical management of the negative emotional state.

[0088] S13, determining an emotion regulation node according to a current level of the negative emotion state and an emotion regulation model;

[0089] S131, freeze the current level of negative emotional state;

[0090] S132, current level of correlation of negative emotional states and emotion regulation models;

[0091] S133. Determine an emotion regulation node based on the current level of the negative emotion state and the emotion regulation model, and perform emotion management in the emotion regulation node.

[0092] In an embodiment of the present invention, the current level of the negative emotional state is fixed, and the current level of the negative emotional state and the emotion regulation model are associated, so as to determine the emotion regulation node based on the current level of the negative emotional state and the emotion regulation model, and perform emotion management in the emotion regulation node, thereby performing corresponding emotion management in the emotion regulation node, ensuring the emotion control in the emotion regulation node, thereby ensuring the emotion of the driver in the smart cockpit.

[0093] Specifically, emotion regulation is implemented in the driving situation. Given the unpredictability of the driving environment, it is often difficult for drivers to choose routes with less traffic and smooth flow (i.e., situational selection or adjustment) to reduce the potential negative impact of traffic congestion on emotions.

[0094] In addition, due to the complexity of the driving task, cognitive changes and reaction adjustments may increase the driver's cognitive load and driving workload, thereby interfering with the driving task. Therefore, under the premise of ensuring driving attention, the reasonable deployment of attention may become an effective strategy to regulate the driver's emotions.

[0095] In the emotion regulation model, the formula for reappraisal is:

[0096] E reappraisal =E event ×C

[0097] Where Ereappraisal represents the emotional response after reappraisal, Eevent represents the original emotional response, and C is the coefficient of reappraisal.

[0098] Emotional expression is to regulate emotions by inhibiting the overt expression of emotions. In the emotion regulation model, the formula for emotional expression can be expressed as:

[0099]

[0100] Among them, E suppression represents the emotional response adjusted by the emotional expression strategy, Eevent represents the original emotional response, and C is the constant offset of emotional expression.

[0101] The rational deployment of attention is to reduce the impact of negative emotions by adjusting the focus of attention. In the emotion regulation model, the formula for distraction can be expressed as:

[0102] E attention =E event -C×attention

[0103] Among them, Eattention represents the emotional response adjusted by the distraction strategy, Eevent represents the original emotional response, C is the adjustment parameter, and attention represents the attention level.

[0104] S14. In the emotion regulation node, construct an emotion regulation scheme based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state;

[0105] S141. In the emotion adjustment node, light effects, music effects, and voice effects in the smart cockpit are collected;

[0106] S142. Construct an emotion regulation combination based on lighting effects, music effects, and voice effects;

[0107] S143, constructing an emotion regulation plan according to multiple emotion regulation combinations and the current level of the negative emotion state;

[0108] S144, associate emotion regulation schemes with current levels of negative emotional states;

[0109] S145, defining a matching coefficient between the emotion regulation scheme and the current level of the negative emotion state;

[0110] S146: If the matching coefficient is greater than a preset matching threshold, the emotion regulation scheme matches the current level of the negative emotion state.

[0111] In an embodiment of the present invention, in the emotion regulation node, the lighting effects, music effects, and voice effects in the smart cockpit are collected so as to introduce the lighting effects, music effects, and voice effects, thereby using the lighting effects, music effects, and voice effects as a mode of emotion regulation, so as to construct an emotion regulation combination based on the lighting effects, music effects, and voice effects, thereby ensuring the emotion regulation combination.

[0112] Furthermore, an emotion regulation scheme is constructed based on multiple emotion regulation combinations and the current level of the negative emotional state, so as to facilitate the management and control of the emotion regulation scheme. At this time, the emotion regulation scheme and the current level of the negative emotional state are associated; a matching coefficient between the emotion regulation scheme and the current level of the negative emotional state is defined; if the matching coefficient is greater than a preset matching threshold, the emotion regulation scheme matches the current level of the negative emotional state, thereby performing targeted management and control of the emotion regulation scheme for the current level of the negative emotional state.

[0113] Specifically, auditory regulation: In the designed regulation strategy, we focused on introducing auditory emotion regulation modes, including adaptive music, auditory intervention, and empathetic speech. Adaptive music is commonly used in driving and can effectively regulate the driver's emotions. When arousal is high, calming music can help the driver calm down. Auditory interventions such as breathing exercises can soothe and wake the driver through slow breathing instructions. Empathetic adaptation of the in-vehicle voice agent to match the emotions of the driver and passengers. This move positively affects driving behavior and interaction and reduces the impact of negative emotions.

[0114] Low anthropomorphic visual regulation: We propose a set of visual features to optimize cognitive skills while driving, based on low anthropomorphic design, including color, symbol, expression and shape. We choose circular shape and combine color, symbol and expression as the main input mode. Color significantly affects emotions, especially positive emotions. Warm colors are more likely to trigger strong emotional reactions than cool colors. However, it should be noted that colors may have different emotional symbols in different cultures and situations, such as red may represent danger. There are two trends in symbol design: flat and oblique deformation. Flat design emphasizes metaphor and revelation, and explores the unique expression of digital media. Studies have shown that there are differences in emotional experience between flat and oblique deformation designs. Through visual design, we identified two ways to regulate anger. One is to make hidden emotions explicit to help drivers regulate road rage; the other is to transform anger into positive emotions and optimize emotional states.

[0115] S15, collecting the driver's emotion change parameters during the emotion regulation program, and defining an emotion score according to the emotion change parameters;

[0116] S151. The driver regulates emotions based on the emotion regulation program;

[0117] S152, collecting the driver's emotion change parameters during the emotion regulation program;

[0118] S153, constructing an emotion combination factor based on multiple emotion change parameters;

[0119] S154. Define a sentiment score based on the sentiment combination factor and the sentiment scoring model.

[0120] In an embodiment of the present invention, the driver performs emotion regulation based on an emotion regulation scheme so as to regulate the driver's emotions based on the emotion regulation scheme. At the same time, the driver's emotion change parameters during the emotion regulation scheme are collected so as to construct an emotion combination factor based on multiple emotion change parameters, thereby defining an emotion score based on the emotion combination factor and the emotion scoring model.

[0121] The method of collecting the driver's emotion change parameters during the emotion regulation program and defining the emotion score according to the emotion change parameters also includes:

[0122]

[0123] S is the emotional assessment score. The score after adjusting negative emotions is S′. α and β are the influencing factors used to adjust negative emotional states.

[0124] When the S′ value remains above 0.8, the driver's operation will be taken over intelligently. When the S′ value is between [0.4, 0.8], the adjustment system will continue to effectively adjust the driver's emotions until the S′ value is less than 0.4, allowing the driver to enter a stable state.

[0125] At this time, it is crucial to conduct timely evaluation and feedback on the driver's emotional state and implicit emotion regulation effect within the framework of ensuring safe and stable driving. Based on a series of behavioral and physiological indicators of the driver, including but not limited to facial expressions, voice status, behavioral posture, and heart rate fluctuations, we will use rigorous methods to conduct real-time and accurate evaluation of their emotional state. Subsequently, these evaluation results will be promptly fed back to the emotion regulation system to guide the formulation of more reasonable adjustment parameters and combinations, thereby ensuring that the driver's emotional state is in the best state to ensure driving safety.

[0126] S16. Compare the emotion scores and the score ranges to define an intelligent control mode or a manual operation mode of the intelligent cockpit;

[0127] S161, fixed emotion score;

[0128] S162, associated emotion scores and multiple score ranges;

[0129] S163, comparing the emotion score and a plurality of score intervals, and defining the score interval in which the emotion score is located;

[0130] S164. Define an intelligent control mode or a manual operation mode of the intelligent cockpit based on the score range of the emotion score.

[0131] In an embodiment of the present invention, an emotion score is fixed; the emotion score and multiple score intervals are associated to facilitate comparison between the emotion score and the multiple score intervals, thereby defining the score interval in which the emotion score is located and clarifying the position of the emotion score. At the same time, the intelligent control mode or manual operation mode of the smart cockpit is defined based on the score interval in which the emotion score is located, thereby ensuring the intelligent control of the smart cockpit.

[0132] Specifically, when the emotional state recognition system detects road rage, the emotional intervention module is activated. It helps drivers calm down and reduce road rage through psychological intervention measures such as soothing music, low-anthropomorphic positive facial expressions, voice prompts to breathe deeply, and personalized fragrances. These measures are based on psychological research and practice and implicitly change the emotional state of drivers.

[0133] At the same time, the system regularly evaluates the driver's emotional state and implicit emotion regulation to ensure safe and stable driving. Once the emotion deteriorates or the regulation system fails, the system will automatically initiate emergency measures, such as deceleration, parking, and automatic driving takeover, to ensure the safety of both the driver and the vehicle.

[0134] Therefore, the facial features of the driver in the smart cockpit are collected, and the driver's emotional state is defined according to the facial features; if the driver's emotional state is a negative emotional state, the current level of the negative emotional state is defined; the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model; in the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotional state. At this time, the emotion management of the driver in the smart cockpit is introduced, and the emotion regulation node is determined according to the current level of the negative emotional state and the emotion regulation model, so that the emotion regulation scheme is matched with the current level of the negative emotional state, so as to track the driver's emotion score during the emotion regulation scheme process, compare the emotion score and the score range, so as to define the intelligent control mode or manual operation mode of the smart cockpit, thereby ensuring the intelligent control of the smart cockpit.

[0135] Therefore, during driving, drivers may experience road rage in a variety of situations, including long-term traffic jams, uncivilized driving behavior, verbal disputes, dangerous driving behavior, and time pressure. Among them, long-term traffic jams and uncivilized driving behavior are particularly common in daily driving and become the main causes of drivers' road rage. In order to effectively regulate drivers' road rage, this scheme proposes a set of comprehensive regulation strategies, covering regulation parameters such as applicable music, empathetic speech, low anthropomorphic visual images, and seat vibration.

[0136] Specifically, applicable music includes gentle piano music, classical music and soothing light music, aiming to calm the emotions of drivers through the power of music. At the same time, empathetic speech of young women, relatives and friends, and instructional style is randomly generated, as well as three-dimensional cartoon images with positive expressions in mainly cold colors. These elements work together on drivers to effectively alleviate road rage caused by long-term traffic congestion and uncivilized driving behavior.

[0137] like Fig. 9 As shown, an embodiment of the present invention further provides a device for regulating the emotions of a driver in a smart cockpit, the device comprising:

[0138] The emotional state module 21 is used to collect the facial features of the driver in the smart cockpit and define the emotional state of the driver according to the facial features;

[0139] a level module 22, for defining a current level of the negative emotional state if the driver's emotional state is a negative emotional state;

[0140] An emotion regulation node module 23, configured to determine an emotion regulation node according to the current level of the negative emotion state and the emotion regulation model;

[0141] An emotion regulation scheme module 24, configured to construct an emotion regulation scheme in the emotion regulation node based on the lighting effects, music effects, and voice effects in the smart cockpit, the emotion regulation scheme matching the current level of the negative emotion state;

[0142] The emotion score module 25 is used to collect the emotion change parameters of the driver during the emotion regulation program and define the emotion score according to the emotion change parameters;

[0143] The mode module 26 is used to compare the emotion scores and the score ranges to define the intelligent control mode or the manual operation mode of the intelligent cockpit.

[0144] Fig.10 This is a schematic diagram of the structure of an embodiment of the electronic device of the present invention, which implements the present invention Figure 1-3 The process of the embodiment shown is as follows: Fig. 9 As shown, the electronic device includes: a shell 41, a processor 42, a memory 43, a circuit board 44 and a power circuit 45, wherein the circuit board 44 is arranged inside the space enclosed by the shell 41, and the processor 42 and the memory 43 are arranged on the circuit board 44; the power circuit 45 is used to supply power to various circuits or devices of the electronic device; the memory 43 is used to store executable program codes; the processor 42 runs the program corresponding to the executable program code by reading the executable program code stored in the memory 43, so as to execute the method for regulating the driver's emotions in the smart cockpit as described in any of the aforementioned embodiments.

[0145] For details on the specific execution process of the above steps by the processor 42 and the steps further performed by the processor 42 by running the executable program code, see the present invention. Figure 1-3 The description of the illustrated embodiment will not be repeated here.

[0146] This electronic device exists in many forms, including but not limited to:

[0147] (1) Mobile communication devices: These devices are characterized by their mobile communication functions and their main purpose is to provide voice and data communications. These terminals include: smart phones (such as iPhones), multimedia phones, functional phones, and low-end phones.

[0148] (2) Ultra-mobile personal computer devices: These devices belong to the category of personal computers, have computing and processing functions, and generally also have mobile Internet access features. These terminals include: PDA, M ID and UMPC devices, such as iPad.

[0149] (3) Portable entertainment devices: These devices display and play multimedia content. They include audio and video players (such as iPods), handheld game consoles, e-books, smart toys, and portable car navigation devices.

[0150] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.

[0151] (5) Other electronic devices with data interaction functions.

[0152] In an exemplary embodiment, a computer-readable storage medium is also provided, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the aforementioned intelligent cockpit emotion adjustment method for the driver. For example, the computer-readable storage medium is a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0153] In addition, an embodiment of the present invention further provides an application program, which is executed to implement the method provided by any embodiment of the present invention.

[0154] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0155] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0156] In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0157] For the convenience of description, the above device is described by dividing the functions into various units / modules. Of course, when implementing the present invention, the functions of each unit / module are implemented in the same or multiple software and / or hardware.

[0158] Those skilled in the art understand that all or part of the processes in the above-mentioned embodiments are implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0159] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for regulating the emotions of a driver in a smart cockpit, characterized in that: include: Collect the facial features of the driver in the smart cockpit and define the driver's emotional state based on the facial features; If the driver's emotional state is a negative emotional state, then defining a current level of the negative emotional state; Determine the emotion regulation node based on the current level of negative emotion state and the emotion regulation model; In the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state; Collecting the driver's emotion change parameters during the emotion regulation program, and defining an emotion score according to the emotion change parameters; The emotion scores and score ranges are compared to define the intelligent control mode or manual operation mode of the smart cockpit.

2. The method for regulating the driver's emotions in a smart cockpit according to claim 1, characterized in that: The collecting of facial features of the driver in the smart cockpit and defining the driver's emotional state according to the facial features includes: Collect facial features of the driver in the smart cockpit; Dividing a plurality of feature areas based on the facial features of the driver; Defining a plurality of sub-features based on the identification of a plurality of feature regions; The driver's emotional state is defined based on multiple sub-features.

3. The method for regulating the driver's emotions in a smart cockpit according to claim 2, characterized in that: If the driver's emotional state is a negative emotional state, then the current level of the negative emotional state is defined, including: Freeze the driver's emotional state; defining negative emotion state based on the driver's emotion state and the negative emotion table; The negative emotion states are traversed, and the current level of the negative emotion state is defined according to the emotion level of the driver.

4. The method for regulating the driver's emotions in a smart cockpit according to claim 3 is characterized in that: The step of determining the emotion regulation node according to the current level of the negative emotion state and the emotion regulation model includes: Freeze the current level of negative emotional state; Relate current levels of negative emotional states and models of emotion regulation; An emotion regulation node is determined based on the current level of the negative emotion state and the emotion regulation model, and emotion management is performed in the emotion regulation node.

5. The method for regulating the driver's emotions in a smart cockpit according to claim 4, characterized in that: In the emotion regulation node, an emotion regulation scheme is constructed based on the lighting effects, music effects, and voice effects in the smart cockpit. The emotion regulation scheme matches the current level of the negative emotion state, including: In this emotion regulation node, the lighting effects, music effects, and voice effects in the smart cockpit are collected; Build emotion regulation combinations based on lighting effects, music effects, and voice effects; constructing an emotion regulation scheme based on multiple emotion regulation combinations and the current level of negative emotion states; Associate emotion regulation schemes with current levels of negative emotional states; defining a matching coefficient between the emotion regulation scheme and the current level of the negative emotion state; If the matching coefficient is greater than the preset matching threshold, the emotion regulation scheme matches the current level of the negative emotion state.

6. The method for regulating the driver's emotions in a smart cockpit according to claim 5, characterized in that: The collecting of the driver's emotion change parameters during the emotion regulation program and defining the emotion score according to the emotion change parameters include: Drivers regulate emotions based on the emotion regulation program; Collect the driver's emotion change parameters during the emotion regulation program; Construct emotional combination factors based on multiple emotional change parameters; The sentiment score is defined based on the sentiment combination factors and the sentiment scoring model.

7. The method for regulating the driver's emotions in a smart cockpit according to claim 6, characterized in that: The method of collecting the driver's emotion change parameters during the emotion regulation program and defining the emotion score according to the emotion change parameters also includes: S is the emotional assessment score. The score after adjusting negative emotions is S′. α and β are the influencing factors used to adjust negative emotional states. When the S′ value remains above 0.8, the driver's operation will be taken over intelligently. When the S′ value is between [0.4, 0.8], the adjustment system will continue to effectively adjust the driver's emotions until the S′ value is less than 0.4, allowing the driver to enter a stable state.

8. The method for regulating the driver's emotions in a smart cockpit according to claim 7, characterized in that: The comparison of the emotion scores and the score ranges to define the intelligent control mode or the manual operation mode of the intelligent cockpit includes: Freeze-frame emotion score; Associate sentiment scores and multiple score ranges; Compare the sentiment scores and multiple score intervals, and define the score intervals in which the sentiment scores are located; The intelligent control mode or manual operation mode of the smart cockpit is defined based on the score range of the emotion score.

9. A smart cockpit emotion regulation device for a driver, characterized in that: include: The emotional state module is used to collect the facial features of the driver in the smart cockpit and define the emotional state of the driver based on the facial features; a level module, for defining a current level of the negative emotional state if the driver's emotional state is a negative emotional state; An emotion regulation node module, for determining an emotion regulation node according to a current level of a negative emotion state and an emotion regulation model; An emotion regulation scheme module, used to construct an emotion regulation scheme in the emotion regulation node based on the lighting effects, music effects, and voice effects in the smart cockpit, and the emotion regulation scheme matches the current level of the negative emotion state; The emotion score module is used to collect the emotion change parameters of the driver during the emotion regulation program and define the emotion score according to the emotion change parameters; The mode module is used to compare the emotion scores and score ranges to define the intelligent control mode or manual operation mode of the smart cockpit.

10. An electronic device, characterized in that: The electronic device includes: a shell, a processor, a memory, a circuit board and a power supply circuit, wherein the circuit board is placed inside the space enclosed by the shell, and the processor and the memory are arranged on the circuit board; the power supply circuit is used to supply power to various circuits or devices of the above-mentioned electronic device; the memory is used to store executable program codes; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method for regulating the driver's emotions in the smart cockpit as described in any one of claims 1 to 8.

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