Vehicle-mounted emotion feedback method, device and equipment based on quantum emotion calculation and storage medium

Abstract

The invention discloses a vehicle-mounted emotion feedback method, device and equipment based on quantum emotion calculation and a storage medium, and relates to the technical field of intelligent automobiles, and the vehicle-mounted emotion feedback method based on quantum emotion calculation comprises the steps: obtaining user physiological information and vehicle environment information; obtaining various physiological information index values according to the user physiological information, and processing the various physiological information index values through a preset quantum emotion calculation model to obtain emotion state information; and adjusting the scene and environment in the vehicle according to the emotional state information and the vehicle environment information. The emotional state of the user is judged according to the physiological information of the user and the environment information of the vehicle, so that the scene and the environment in the vehicle are adjusted according to different emotional states, emotional feedback is completed for the user, and the emotional experience of the user is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent automobile technology, and in particular to a method, device, equipment and storage medium for vehicle-mounted emotional feedback based on quantum emotional computing. Background Art

[0002] The modern automotive industry is gradually shifting its focus from purely optimizing physical performance to emphasizing human emotional needs. Cars are no longer simply a means of transportation; they are becoming "emotional containers" and mobile living spaces. Some automakers have begun exploring emotional interaction, such as integrating electric photochromic glass with holographic projection to create customized light and shadow scenes for passengers. However, current emotional feedback methods are not highly compatible with user emotions, so enhancing the user experience remains an unresolved issue.

[0003] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of this application is to provide an in-vehicle emotional feedback method, device, equipment and storage medium based on quantum emotional computing, aiming to solve the technical problem of how to increase the user's emotional experience.

[0005] To achieve the above-mentioned purpose, the present application proposes an in-vehicle emotional feedback method based on quantum emotional computing, the method comprising: obtaining user physiological information and vehicle environment information; obtaining a plurality of physiological information indicator values ​​based on the user physiological information, and processing the plurality of physiological information indicator values ​​through a preset quantum emotional computing model to obtain emotional state information; and adjusting the in-vehicle scene and environment based on the emotional state information and the vehicle environment information.

[0006] In one embodiment, the step of obtaining multiple physiological information indicator values ​​based on the user's physiological information and processing the multiple physiological information indicator values ​​using a preset quantum emotion computing model to obtain emotional state information includes:

[0007] determining electrical signal information and image information according to the user's physiological information;

[0008] Analyzing the electrical signal information to obtain an electrical signal index value;

[0009] Analyzing the image information to obtain an expression index value;

[0010] Emotional state information is obtained according to the electrical signal index value, the expression index value and a preset quantum emotion computing model.

[0011] In one embodiment, the step of analyzing the electrical signal information to obtain the electrical signal index value includes:

[0012] Obtaining brain wave signals and skin electrical activity according to the electrical signal information;

[0013] determining a brainwave index value of the user according to the frequency of the brainwave signal;

[0014] determining a skin electrode activity index value based on the conductivity data of the skin electrode activity;

[0015] An electrical signal index value is obtained according to the brain wave index value and the skin electrical activity index value.

[0016] In one embodiment, the step of analyzing the image information to obtain an expression index value includes:

[0017] determining the user's facial expression based on the image information;

[0018] An expression index value is determined according to the expression state.

[0019] In one embodiment, the step of adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information includes:

[0020] adjusting the window color and projecting a virtual scene according to the emotional state information and the vehicle environment information;

[0021] Play corresponding music and sound effects according to the emotional state information and the vehicle environment information;

[0022] adjusting the hardness and temperature of the seat and activating a seat massage function according to the emotional state information and the vehicle environment information;

[0023] The fragrance is released according to the emotional state information and the vehicle environment information.

[0024] In one embodiment, after adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes:

[0025] predicting the user's future emotional trends based on the user's physiological information and the vehicle environment information;

[0026] Adjust the in-car scene and environment according to the user's future emotional trends.

[0027] In one embodiment, after adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes:

[0028] Monitor changes in users' physiological information;

[0029] Determining whether the user's emotional state has changed based on changes in the user's physiological information;

[0030] If the user's emotional state has not changed, the in-vehicle scene and environment are readjusted according to the emotional state information and the vehicle environment information.

[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes an in-vehicle emotional feedback device based on quantum emotional computing, which includes:

[0032] An acquisition module is used to obtain user physiological information and vehicle environment information;

[0033] a processing module, configured to obtain a plurality of physiological information indicator values ​​according to the physiological information of the user, and process the plurality of physiological information indicator values ​​using a preset quantum emotion computing model to obtain emotional state information;

[0034] An adjustment module is used to adjust the in-vehicle scene and environment according to the emotional state information and the vehicle environment information.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes an in-vehicle emotional feedback device based on quantum emotional computing, the device including: a memory, a processor, and a computer program stored on the memory and runnable on the processor, the computer program being configured to implement the steps of the in-vehicle emotional feedback method based on quantum emotional computing as described above.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the in-vehicle emotional feedback method based on quantum emotional computing as described above are implemented.

[0037] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the in-vehicle emotional feedback method based on quantum emotional computing as described above.

[0038] The present application provides an in-vehicle emotional feedback method based on quantum emotional computing. The present application obtains user physiological information and vehicle environmental information; obtains multiple physiological information indicator values ​​based on the user physiological information, and processes the multiple physiological information indicator values ​​through a preset quantum emotional computing model to obtain emotional state information; and adjusts the in-vehicle scene and environment based on the emotional state information and the vehicle environmental information.

[0039] In summary, this application comprehensively considers the user's physiological information and the environmental information of the vehicle to accurately judge the user's emotional state, thereby adjusting the scene and environment in the car according to different emotional states, providing emotional feedback to the user, and enhancing the user's emotional experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 A flowchart of the first embodiment of the vehicle-mounted emotional feedback method based on quantum emotional computing provided by this application;

[0043] Figure 2 A flow chart illustrating the second embodiment of the vehicle-mounted emotional feedback method based on quantum emotional computing of this application;

[0044] Figure 3 A schematic diagram of a simplified process of the vehicle-mounted emotional feedback method based on quantum emotional computing provided in Example 1 of the present application;

[0045] Figure 4 This is a schematic diagram of the module structure of the vehicle-mounted emotional feedback device based on quantum emotional computing according to an embodiment of the present application;

[0046] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the in-vehicle emotional feedback method based on quantum emotional computing in the embodiment of this application.

[0047] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0049] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0050] The main solution of this application is to obtain user physiological information and vehicle environment information; obtain multiple physiological information indicator values ​​based on the user physiological information, and process the multiple physiological information indicator values ​​through a preset quantum emotion computing model to obtain emotional state information; adjust the in-vehicle scene and environment based on the emotional state information and the vehicle environment information.

[0051] Current emotional feedback methods are not highly compatible with users' emotions. Therefore, how to enhance users' emotional experience is a problem that still needs to be solved.

[0052] This application comprehensively considers the user's physiological information and the environmental information of the vehicle to accurately judge the user's emotional state, thereby adjusting the scene and environment in the car according to different emotional states, providing emotional feedback to the user, and enhancing the user's emotional experience.

[0053] Based on this, the embodiment of the present application provides a vehicle-mounted emotional feedback method based on quantum emotional computing, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the in-vehicle emotional feedback method based on quantum emotional computing of this application.

[0054] In this embodiment, the vehicle-mounted emotional feedback method based on quantum emotional computing includes steps S10 to S30:

[0055] Step S10: Acquire user physiological information and vehicle environment information;

[0056] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, mobile phone, etc., or an electronic device capable of implementing the above functions, an in-vehicle emotion feedback device based on quantum emotion computing, etc. The following uses the in-vehicle emotion feedback device based on quantum emotion computing as an example to illustrate this embodiment and the following embodiments.

[0057] It's important to note that onboard sensors, such as facial recognition cameras, heart rate sensors, brain wave sensors, environmental sensors, and microphones, can be used to obtain information about the user's physiological and environmental conditions. Facial recognition cameras capture the user's facial expressions and analyze their emotional state; heart rate and brain wave sensors monitor the user's physiological indicators to further assist in determining their emotions; and environmental sensors collect information about the external environment, such as light, temperature, and humidity. Microphones are used to identify the user's voiceprint and analyze their emotions.

[0058] Step S20: obtaining a plurality of physiological information indicator values ​​according to the user's physiological information, and processing the plurality of physiological information indicator values ​​by a preset quantum emotion computing model to obtain emotional state information;

[0059] It is understandable that in order to obtain emotional state information through the user's physiological information, the physiological information can be classified to distinguish multiple physiological information, such as electrical signal physiological information, image physiological information, sound physiological information, etc., and then the multiple physiological information can be quantified separately to obtain specific physiological information values, and analyzed and processed through the quantum emotion computing model to determine the user's emotional state information.

[0060] Step S30: Adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information.

[0061] It should be noted that the in-car scene and environment can be adjusted from multiple aspects, such as visual feedback, auditory feedback, tactile feedback, olfactory feedback, etc. Through multi-level collaborative feedback, a full range of emotional experiences can be provided to users.

[0062] In one feasible manner, the step of adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information includes:

[0063] adjusting the window color and projecting a virtual scene according to the emotional state information and the vehicle environment information;

[0064] Play corresponding music and sound effects according to the emotional state information and the vehicle environment information;

[0065] adjusting the hardness and temperature of the seat and activating a seat massage function according to the emotional state information and the vehicle environment information;

[0066] The fragrance is released according to the emotional state information and the vehicle environment information.

[0067] It is understandable that by adjusting the window color, projecting virtual scenes, etc., a visual atmosphere that matches the user's emotional state can be created; by playing corresponding music and sound effects, such as cheerful music, gentle waves, etc., the user's emotional experience can be enhanced; through seat massage and vibration, different tactile sensations can be simulated, such as a gentle hug, slight shaking; by releasing different fragrances, such as the soothing scent of lavender, the refreshing scent of lemon, etc., the user's emotional experience can be further enhanced.

[0068] It should be noted that this embodiment uses biomimetic materials to provide users with a sense of touch, using electroactive hydrogel (EAH). EAH is an intelligent material that can control its physical properties through electrical signals. Its application in automotive interiors is mainly reflected in the two major functions of touch simulation and temperature feedback. The dynamic range of Young's modulus of EAH is 0.1kPa–5MPa, where Young's modulus is an indicator of material stiffness. The larger the value, the harder it is. When the hardness is 0.1kPa, it is close to the softness of cotton or sponge. When the hardness is 5MPa, it is close to the hardness of hard plastic or light metal. Its working principle is to change the hardness by applying different voltages to change the cross-linking density of the polymer chain inside the hydrogel. When a low voltage of 1-3V is applied, the molecular chains are loose, making the material soft. When a high voltage of 5-10V is applied, the molecular chains are tightly cross-linked, making the material hard. When applied to vehicle seat surfaces, EAH can be adjusted to a 0.5kPa memory foam feel during long drives to alleviate fatigue, and to a 3MPa firmness for enhanced support during intense driving. When applied to steering wheels or door trim, EAH dynamically adjusts surface hardness to provide tactile feedback. The thermal conductivity gradient of EAH ranges from 0.026–401W / m·K, where thermal conductivity is the ability of a material to transfer heat. When the thermal conductivity gradient is 0.026W / m·K, the insulation effect of EAH approaches that of still air or ice and snow, simulating a cold touch. When the thermal conductivity gradient is 401W / m·K, it approaches the thermal conductivity of copper, rapidly transferring heat and simulating a warm touch. Its working principle is to integrate a built-in micro-thermoelectric module with the hydrogel. When cooling is required, the micro-thermoelectric module absorbs heat, lowering the hydrogel surface temperature. When heating is required, the micro-thermoelectric module releases heat, increasing the hydrogel's thermal conductivity. EAH enables seat temperature control. In summer, cooling mode reduces the thermal conductivity to 0.03W / m·K, lowering the surface temperature to 18°C. In winter, warming mode increases the thermal conductivity to 300W / m·K, raising the temperature to 40°C in 3 seconds. EAH also allows the thermal conductivity to automatically adjust based on the ambient temperature when a passenger's hand contacts the door armrest.

[0069] In a feasible manner, after adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes:

[0070] predicting the user's future emotional trends based on the user's physiological information and the vehicle environment information;

[0071] Adjust the in-car scene and environment according to the user's future emotional trends.

[0072] It is understood that based on the user's physiological information and the vehicle environment information, the user's emotional trends over the next few minutes can be predicted. Specifically, the user's historical emotional trends can be obtained and, based on these historical emotional trends, the user's current physiological information and vehicle environment information, the user's likely emotional state can be determined, thereby determining the emotional trend. After obtaining the emotional trend, the in-vehicle scene and environment can be adjusted in advance to maintain a positive emotional experience for the customer.

[0073] In a feasible manner, after adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes:

[0074] Monitor changes in users' physiological information;

[0075] Determining whether the user's emotional state has changed based on changes in the user's physiological information;

[0076] If the user's emotional state has not changed, the in-vehicle scene and environment are readjusted according to the emotional state information and the vehicle environment information.

[0077] It is understandable that after adjusting the in-car scene and environment, the changes in the user's physiological information can continue to be monitored. If the user's emotional state has not changed, it means that the in-car scene and environment have insufficient emotional feedback effect on the user. The in-car scene and environment can be readjusted based on the emotional state information and the vehicle environment information.

[0078] This embodiment obtains user physiological information and vehicle environmental information; obtains multiple physiological information indicator values ​​based on the user physiological information, and processes the multiple physiological information indicator values ​​through a preset quantum emotion computing model to obtain emotional state information; and adjusts the in-vehicle scene and environment based on the emotional state information and the vehicle environmental information.

[0079] To sum up, this embodiment comprehensively considers the user's physiological information and the environmental information of the vehicle to accurately judge the user's emotional state, thereby adjusting the scene and environment in the car according to different emotional states, providing emotional feedback to the user, and enhancing the user's emotional experience.

[0080] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , step S20 further includes steps S201 to S204:

[0081] Step S201: determining electrical signal information and image information according to the user's physiological information;

[0082] It should be noted that the user's electrical signal information includes the user's brain wave signals, skin electrical activity, heart rate data, etc., and the image information includes the user's facial image, action image, etc.

[0083] Step S202: Analyze the electrical signal information to obtain an electrical signal index value;

[0084] It is understandable that by analyzing the electrical signal, the electrical signal information can be quantified to obtain an electrical signal index value.

[0085] In a feasible manner, the step of analyzing the electrical signal information to obtain the electrical signal index value includes:

[0086] Obtaining brain wave signals and skin electrical activity according to the electrical signal information;

[0087] determining a brainwave index value of the user according to the frequency of the brainwave signal;

[0088] determining a skin electrode activity index value based on the conductivity data of the skin electrode activity;

[0089] An electrical signal index value is obtained according to the brain wave index value and the skin electrical activity index value.

[0090] It's understandable that brain activity generates waves of varying frequencies. The frequency of brainwave signals can be broken down into different indicators, such as relaxation level and attention intensity, allowing for the acquisition of brainwave indicators based on these signals. When the human body is stressed or excited, the skin sweats, causing changes in conductivity. Therefore, the conductivity data from the skin's electrical activity can be used to determine indicators such as stress and excitement. By combining brainwave indicators and skin activity indicators, electrical signal indicators can be derived.

[0091] Step S203: Analyze the image information to obtain an expression index value;

[0092] It is understandable that, taking the user's facial image information as an example, the user's facial image information is analyzed to determine the user's facial expression and obtain an expression index value.

[0093] Step S204: obtaining emotional state information according to the electrical signal index value, the expression index value and a preset quantum emotion computing model.

[0094] It is understandable that the formula of the preset quantum emotion computing model is:

[0095]

[0096] Among them, Ψemotion is the final emotional state model, Σ_{n=1}^ ∞Indicates the sum of an infinite number of terms, but in practice, a finite number of terms is usually used. n , β m , γ m is the weight coefficient, which determines the importance of brain waves, skin electrical signals and image information, φ n (EEG), ψm(EDA), Ωm(EXP) are the basis functions after decomposition of brain waves, skin electrical signals and image information respectively. It is a tensor product that generates a comprehensive emotional state based on the values ​​of various indicators.

[0097] This embodiment determines electrical signal information and image information based on the user's physiological information; analyzes the electrical signal information to obtain an electrical signal index value; analyzes the image information to obtain an expression index value; and obtains emotional state information based on the electrical signal index value, the expression index value, and a preset quantum emotion computing model.

[0098] To sum up, this embodiment uses a quantum emotion computing model to comprehensively calculate multiple physiological information, decomposes the physiological information into various index values, and obtains the final emotion analysis results based on the weights, thereby determining the user's emotional state, which is conducive to accurately obtaining the user's emotional state and enhancing the user's emotional experience.

[0099] For example, in order to help understand the implementation process of the vehicle-mounted emotional feedback method based on quantum emotional computing obtained by combining this embodiment with the above embodiment 1, please refer to Figure 3 , Figure 3 A brief flow chart of an in-vehicle emotion feedback method based on quantum emotion computing is provided. Specifically, the emotion perception module collects emotion data through a facial recognition camera, a heart rate sensor, an EEG sensor, and an environmental sensor; the quantum emotion computing module forms a quantum emotion computing engine through a quantum processor, a quantum algorithm library, and an emotion database; the multimodal emotion feedback module performs multimodal emotion feedback through a visual feedback system, an auditory feedback system, a tactile feedback system, and an olfactory feedback system; and the data obtained by the emotion perception module is processed by the quantum emotion computing module, and then the multimodal emotion feedback module performs multimodal emotion feedback based on the processing results, and then continues to adjust and optimize in real time, and transmits the results to the emotion perception module.

[0100] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the vehicle-mounted emotional feedback method based on quantum emotional computing of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0101] This application also provides a vehicle-mounted emotional feedback device based on quantum emotional computing, please refer to Figure 4, the vehicle-mounted emotional feedback device based on quantum emotional computing includes:

[0102] An acquisition module 10 is used to acquire user physiological information and vehicle environment information;

[0103] a processing module 20 for obtaining a plurality of physiological information indicator values ​​according to the physiological information of the user, and processing the plurality of physiological information indicator values ​​by using a preset quantum emotion computing model to obtain emotional state information;

[0104] The adjustment module 30 is used to adjust the in-vehicle scene and environment according to the emotional state information and the vehicle environment information.

[0105] This embodiment provides an in-vehicle emotional feedback method based on quantum emotional computing. This application obtains user physiological information and vehicle environmental information; obtains multiple physiological information indicator values ​​based on the user physiological information, and processes the multiple physiological information indicator values ​​through a preset quantum emotional computing model to obtain emotional state information; and adjusts the in-vehicle scene and environment based on the emotional state information and the vehicle environmental information.

[0106] In summary, this embodiment comprehensively considers the user's physiological information and the environmental information of the vehicle to accurately judge the user's emotional state, thereby adjusting the scene and environment in the car according to different emotional states, providing emotional feedback to the user, and enhancing the user's emotional experience.

[0107] In one embodiment, the processing module 20 is also used to determine electrical signal information and image information based on the user's physiological information; analyze the electrical signal information to obtain an electrical signal index value; analyze the image information to obtain an expression index value; and obtain emotional state information based on the electrical signal index value, the expression index value and a preset quantum emotion computing model.

[0108] In one embodiment, the processing module 20 is also used to obtain brain wave signals and skin electrical activity based on the electrical signal information; determine the user's brain wave index value based on the frequency of the brain wave signal; determine the skin electrical activity index value based on the conductivity data of the skin electrical activity; and obtain the electrical signal index value based on the brain wave index value and the skin electrical activity index value.

[0109] In one embodiment, the processing module 20 is further configured to determine the user's facial expression based on the image information; and determine an expression index value based on the facial expression.

[0110] In one embodiment, the adjustment module 30 is also used to adjust the window color and project a virtual scene according to the emotional state information and the vehicle environment information; play corresponding music and sound effects according to the emotional state information and the vehicle environment information; adjust the hardness and temperature of the seat and turn on the seat massage function according to the emotional state information and the vehicle environment information; and release fragrance according to the emotional state information and the vehicle environment information.

[0111] In one embodiment, the adjustment module 30 is further configured to predict the user's future emotional trends based on the user's physiological information and the vehicle environment information; and adjust the in-vehicle scene and environment based on the user's future emotional trends.

[0112] In one embodiment, the adjustment module 30 is also used to monitor changes in the user's physiological information; determine whether the user's emotional state has changed based on the changes in the user's physiological information; if the user's emotional state has not changed, readjust the in-vehicle scene and environment based on the emotional state information and the vehicle environment information.

[0113] The in-vehicle emotional feedback device based on quantum emotional computing provided in this application, which employs the in-vehicle emotional feedback method based on quantum emotional computing in the above-mentioned embodiments, can solve the technical problem of how to enhance the user's emotional experience. Compared with the prior art, the beneficial effects of the in-vehicle emotional feedback device based on quantum emotional computing provided in this application are the same as those of the in-vehicle emotional feedback method based on quantum emotional computing provided in the above-mentioned embodiments. Other technical features of the in-vehicle emotional feedback device based on quantum emotional computing are the same as those disclosed in the above-mentioned embodiments and are not further described here.

[0114] The present application provides an in-vehicle emotional feedback device based on quantum emotional computing. The in-vehicle emotional feedback device based on quantum emotional computing includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the in-vehicle emotional feedback method based on quantum emotional computing in the above-mentioned embodiment one.

[0115] Reference below Figure 5, which shows a schematic structural diagram of an in-vehicle emotional feedback device based on quantum emotional computing suitable for implementing the embodiments of the present application. The in-vehicle emotional feedback device based on quantum emotional computing in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The in-vehicle emotional feedback device based on quantum emotional computing shown is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present application.

[0116] like Figure 5 As shown, the vehicle-mounted emotional feedback device based on quantum emotional computing may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in ROM (Read Only Memory) 1002 or the program loaded from the storage device 1003 into RAM (Random Access Memory) 1004. In RAM 1004, various programs and data required for the operation of the vehicle-mounted emotional feedback device based on quantum emotional computing are also stored. The processing device 1001, ROM 1002 and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the in-vehicle emotional feedback device based on quantum emotional computing to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an in-vehicle emotional feedback device based on quantum emotional computing with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems can be implemented or have instead.

[0117] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0118] The in-vehicle emotional feedback device based on quantum emotional computing provided in this application, which employs the in-vehicle emotional feedback method based on quantum emotional computing in the above-mentioned embodiment, can solve the technical problem of how to enhance the user's emotional experience. Compared with the prior art, the beneficial effects of the in-vehicle emotional feedback device based on quantum emotional computing provided in this application are the same as those of the in-vehicle emotional feedback method based on quantum emotional computing provided in the above-mentioned embodiment. The other technical features of the in-vehicle emotional feedback device based on quantum emotional computing are the same as those disclosed in the above-mentioned embodiment and are not further described here.

[0119] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0120] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0121] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle-mounted emotional feedback method based on quantum emotional computing in the above-mentioned embodiment.

[0122] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0123] The above-mentioned computer-readable storage medium can be included in the vehicle-mounted emotional feedback device based on quantum emotional computing; or it can exist independently without being assembled into the vehicle-mounted emotional feedback device based on quantum emotional computing.

[0124] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the vehicle-mounted emotion feedback device based on quantum emotion computing, the vehicle-mounted emotion feedback device based on quantum emotion computing enables: to obtain user physiological information and vehicle environment information; to obtain multiple physiological information indicator values ​​based on the user physiological information, and to process the multiple physiological information indicator values ​​through a preset quantum emotion computing model to obtain emotion state information; and to adjust the in-vehicle scene and environment based on the emotion state information and the vehicle environment information.

[0125] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0126] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0127] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0128] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., a computer program) for executing the above-mentioned in-vehicle emotional feedback method based on quantum emotional computing, and can solve the technical problem of how to increase the user's emotional experience. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the in-vehicle emotional feedback method based on quantum emotional computing provided in the above-mentioned embodiment, and will not be repeated here.

[0129] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned in-vehicle emotional feedback method based on quantum emotional computing.

[0130] The computer program product provided in this application can solve the technical problem of how to enhance the user's emotional experience. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the in-vehicle emotional feedback method based on quantum emotional computing provided in the above-mentioned embodiment, and will not be repeated here.

[0131] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle-mounted emotional feedback method based on quantum emotional computing, characterized in that: The method includes: Obtain user physiological information and vehicle environment information; Obtaining multiple physiological information indicator values ​​based on the user's physiological information, and processing the multiple physiological information indicator values ​​using a preset quantum emotion computing model to obtain emotional state information; Adjust the in-vehicle scene and environment according to the emotional state information and the vehicle environment information.

2. The method according to claim 1, wherein The step of obtaining multiple physiological information indicator values ​​according to the user's physiological information and processing the multiple physiological information indicator values ​​by a preset quantum emotion computing model to obtain the emotion state information includes: determining electrical signal information and image information according to the user's physiological information; Analyzing the electrical signal information to obtain an electrical signal index value; Analyzing the image information to obtain an expression index value; Emotional state information is obtained according to the electrical signal index value, the expression index value and a preset quantum emotion computing model.

3. The method according to claim 2, wherein The step of analyzing the electrical signal information to obtain the electrical signal index value includes: Obtaining brain wave signals and skin electrical activity according to the electrical signal information; determining a brainwave index value of the user according to the frequency of the brainwave signal; determining a skin electrode activity index value based on the conductivity data of the skin electrode activity; An electrical signal index value is obtained according to the brain wave index value and the skin electrical activity index value.

4. The method according to claim 2, wherein The step of analyzing the image information to obtain the expression index value includes: determining the user's facial expression based on the image information; An expression index value is determined according to the expression state.

5. The method according to claim 1, wherein The step of adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information includes: adjusting the window color and projecting a virtual scene according to the emotional state information and the vehicle environment information; Play corresponding music and sound effects according to the emotional state information and the vehicle environment information; adjusting the hardness and temperature of the seat and activating a seat massage function according to the emotional state information and the vehicle environment information; The fragrance is released according to the emotional state information and the vehicle environment information.

6. The method according to claim 1, wherein After adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes: predicting the user's future emotional trends based on the user's physiological information and the vehicle environment information; Adjust the in-car scene and environment according to the user's future emotional trends.

7. The method according to claim 1, wherein After adjusting the in-vehicle scene and environment according to the emotional state information and the vehicle environment information, the method further includes: Monitor changes in users' physiological information; Determining whether the user's emotional state has changed based on changes in the user's physiological information; If the user's emotional state has not changed, the in-vehicle scene and environment are readjusted according to the emotional state information and the vehicle environment information.

8. A vehicle-mounted emotional feedback device based on quantum emotional computing, characterized in that: The device comprises: An acquisition module is used to obtain user physiological information and vehicle environment information; a processing module, configured to obtain a plurality of physiological information indicator values ​​according to the physiological information of the user, and process the plurality of physiological information indicator values ​​using a preset quantum emotion computing model to obtain emotional state information; An adjustment module is used to adjust the in-vehicle scene and environment according to the emotional state information and the vehicle environment information.

9. A vehicle-mounted emotional feedback device based on quantum emotional computing, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the in-vehicle emotional feedback method based on quantum emotional computing as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the vehicle-mounted emotional feedback method based on quantum emotional computing as described in any one of claims 1 to 7 is implemented.

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