A fragrance control method and apparatus

Abstract

The present application relates to a kind of fragrance control method and device, the method includes: the physiological state information of target user in vehicle is collected, the external environment information of vehicle and the driving state information of vehicle;Determine the current emotional state of target user, and the emotional label corresponding to current emotional state;Using first model, from the historical fragrance data belonging to target user, select the target fragrance matching with emotional label;Historical fragrance data includes the fragrance data collected from vehicle at each collection time before current time and the emotional label of target user at collection time;Put target fragrance on vehicle.Such, from the historical fragrance data belonging to target user, select the target fragrance matching with emotional label, so that target fragrance can truly match the demand of user, improve the emotional state and experience of user.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and more particularly to a fragrance control method and device. Background Technology

[0002] With the upgrading of consumption, consumers are beginning to pursue spiritual pleasure and a high-quality life. Car fragrance systems can create a pleasant in-car atmosphere, and suitable fragrances can bring users a happy mood.

[0003] Currently, manufacturers typically label fragrances as either uplifting or invigorating, allowing users to choose based on their preferences. However, different users have varying experiences with fragrance scents, and these labeled fragrances don't truly match user needs, offering little help in improving mood or enhancing the user experience. Summary of the Invention

[0004] The present invention aims to at least solve one of the technical problems existing in the prior art. To this end, a first aspect of the present invention provides a fragrance control method, the method comprising:

[0005] Collect physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving status information of the vehicle.

[0006] Based on the target user's physiological state information, the external environment information, and the vehicle's driving status information, the target user's current emotional state and the corresponding emotion tag are determined.

[0007] Using the first model, a target fragrance that matches the emotion tag is selected from the historical fragrance data belonging to the target user; the historical fragrance data includes fragrance data collected from the vehicle at each collection time before the current time and the emotion tag of the target user at the collection time.

[0008] The target fragrance is applied to the vehicle.

[0009] Optionally, before collecting the physiological state information of the target user inside the vehicle, the following may also be included:

[0010] Use cameras to determine the number of users inside the vehicle;

[0011] When there is only one user, the single user inside the vehicle is identified as the target user.

[0012] When there are multiple users, the user who triggers the vehicle's fragrance button is identified as the target user, or the user located in a preset seat is identified as the target user.

[0013] Optionally, the historical fragrance data is obtained through the following methods:

[0014] During the target time period before the current time, when fragrance is placed in the vehicle, the physiological state information of the frequent users in the vehicle, the external environment information of the vehicle, and the driving status information of the vehicle are collected according to a preset cycle, as well as the fragrance data in the vehicle, which includes at least the fragrance type and fragrance concentration.

[0015] Based on the user's physiological state information, the vehicle's external environment information, and the vehicle's driving status information at the time of data collection, the user's emotional state at the time of data collection and the corresponding emotional tag are determined.

[0016] The fragrance data at each collection time and the user's emotion label at the collection time are input into the second model to obtain the correspondence between each emotion label and the fragrance data;

[0017] The correspondence between each user's emotion tags and fragrance data is stored in the cloud as historical fragrance data.

[0018] Optionally, a target fragrance matching the emotion tag may be selected from the historical fragrance data belonging to the target user, including:

[0019] The categories of the emotion tags are determined, including positive emotion categories and negative emotion categories;

[0020] If the emotion tag belongs to the negative emotion category, the first model is used to select a target fragrance that can improve the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data; the first model is constructed based on fragrance data and the user's emotion change data after using the fragrance data;

[0021] If the emotion tag belongs to the positive emotion category, the first model is used to select a target fragrance that matches the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data.

[0022] Optionally, the collection of physiological state information of the target user inside the vehicle includes:

[0023] The system uses in-vehicle cameras and infrared sensors to collect image information, video information, and hotspot information of the target user's body.

[0024] The facial expression information and vital sign information of the target user are obtained by identifying the video information and the hotspot area map. The vital sign information includes at least heart rate, blood pressure, and blood oxygen concentration.

[0025] The facial expression information and vital sign information are used as the physiological state information of the target user.

[0026] Optionally, the vehicle's external environment information includes at least the vehicle's geolocation, images and videos of the environment surrounding the vehicle, current weather, and current time;

[0027] The vehicle's driving status information includes at least the vehicle's speed, acceleration, power consumption, and vehicle balance status information.

[0028] A second aspect of the present invention provides a fragrance control device, the device comprising:

[0029] The first acquisition module is used to acquire physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving status information of the vehicle.

[0030] The first emotion tag determination module is used to determine the current emotional state of the target user and the emotion tag corresponding to the current emotional state based on the target user's physiological state information, the external environment information, and the vehicle's driving state information.

[0031] The target fragrance selection module is used to select a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user using a first model; the historical fragrance data includes fragrance data collected from the vehicle at various collection times before the current time and the emotion tag of the target user at the collection time.

[0032] A target fragrance delivery module is used to deliver the target fragrance onto the vehicle.

[0033] Optionally, the device further includes:

[0034] The people acquisition module is used to acquire the number of users inside the vehicle using a camera.

[0035] The first determining module is used to determine the single user in the vehicle as the target user when the number of users is one.

[0036] The second determining module is used to determine, when there are multiple users, the user who triggers the fragrance button of the vehicle as the target user, or the user located in a preset seat as the target user.

[0037] Optionally, the device further includes:

[0038] The second acquisition module is used to collect physiological state information of frequent users in the vehicle, external environmental information of the vehicle, and driving status information of the vehicle, as well as fragrance data in the vehicle, according to a preset cycle during a target time period before the current time, when fragrance is placed in the vehicle. The fragrance data includes at least the fragrance type and fragrance concentration.

[0039] The second emotion tag determination module is used to determine the user's emotional state at the time of collection and the emotion tag corresponding to the emotional state based on the user's physiological state information, the vehicle's external environment information, and the vehicle's driving state information at the time of collection.

[0040] The correspondence determination module is used to input the fragrance data at each collection time and the user's emotion label at the collection time into the second model to obtain the correspondence between each emotion label and the fragrance data;

[0041] The storage module is used to store the correspondence between each user's emotion tags and fragrance data in the cloud as historical fragrance data.

[0042] Optionally, the target fragrance selection module is specifically used for:

[0043] The categories of the emotion tags are determined, including positive emotion categories and negative emotion categories;

[0044] If the emotion tag belongs to the negative emotion category, the first model is used to select a target fragrance that can improve the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data; the first model is constructed based on fragrance data and the user's emotion change data after using the fragrance data;

[0045] If the emotion tag belongs to the positive emotion category, the first model is used to select a target fragrance that matches the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data.

[0046] Optionally, the first acquisition module is specifically used for:

[0047] The system uses in-vehicle cameras and infrared sensors to collect image information, video information, and hotspot information of the target user's body.

[0048] The facial expression information and vital sign information of the target user are obtained by identifying the video information and the hotspot area map. The vital sign information includes at least heart rate, blood pressure, and blood oxygen concentration.

[0049] The facial expression information and vital sign information are used as the physiological state information of the target user.

[0050] A third aspect of the present invention provides an electronic device comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set, or an instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the fragrance control method as described in the first aspect.

[0051] A fourth aspect of the present invention provides a computer-readable storage medium storing at least one instruction, at least one program, a code set, or an instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the fragrance control method as described in the first aspect.

[0052] According to specific embodiments provided by the present invention, the present invention has the following technical effects:

[0053] The fragrance control method provided in this invention collects physiological state information of a target user inside a vehicle, external environmental information of the vehicle, and driving status information of the vehicle; based on the physiological state information of the target user, the external environmental information, and the driving status information of the vehicle, determines the current emotional state of the target user and the corresponding emotion tag; using a first model, selects a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user; the historical fragrance data includes fragrance data collected from the vehicle at various collection times before the current time and the emotion tag of the target user at each collection time; and applies the target fragrance to the vehicle. Thus, by selecting a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user, this target fragrance is verified based on the target user's historical data to match the target user's current emotion tag. Therefore, the target fragrance can truly match the user's needs and improve the user's emotional state and experience.

[0054] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0055] To more clearly illustrate the technical solutions of the present invention, the accompanying drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0056] Figure 1A flowchart illustrating the steps of a first fragrance control method provided in an embodiment of the present invention;

[0057] Figure 2 This is a flowchart illustrating the steps of a second fragrance control method provided in an embodiment of the present invention.

[0058] Figure 3 A flowchart illustrating the steps of a third fragrance control method provided in an embodiment of the present invention;

[0059] Figure 4 This is a structural block diagram of a fragrance control device provided in an embodiment of the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] This specification provides the operational steps for the methods described in the embodiments or flowcharts, but may include more or fewer operational steps based on conventional or non-inventive labor. In actual system or server product execution, the methods shown in the embodiments or drawings may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0062] Figure 1 A flowchart illustrating the steps of a first fragrance control method provided in an embodiment of the present invention. The method includes the following steps:

[0063] Step 101: Collect physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving status information of the vehicle.

[0064] The target user's physiological state information includes information that reflects the user's emotional state, such as the target user's current facial expressions, actions, and physical signs. The vehicle's external environment information includes information that is unrelated to the vehicle itself, such as the environment of the vehicle's external space and the vehicle's geographical location, but may affect the emotional state of the users inside the vehicle.

[0065] Vehicle driving status information includes information such as vehicle speed, direction, and acceleration, which reflects the vehicle's driving status and may affect the emotional state of the users inside the vehicle.

[0066] In one possible implementation, the collection of physiological state information of the target user inside the vehicle includes:

[0067] Step 1011: Use the in-vehicle camera and infrared sensor to collect image information, video information, and hotspot information of the target user's body;

[0068] Step 1012: Identify and parse the image information, the video information, and the hotspot area information to obtain the target user's facial expression information and vital sign information, wherein the vital sign information includes at least heart rate, blood pressure, and blood oxygen concentration;

[0069] Step 1013: Use the facial expression information and vital sign information as the physiological state information of the target user.

[0070] In steps 1011-1013, the physiological state information of the target user includes facial expression information and vital sign information, both of which can be obtained by analyzing the target user's images and videos.

[0071] By extracting geometric and motion features from the target user's image, motion parameters of the moving image are calculated, thereby obtaining the target user's facial expression information. Facial expression information can include various expressions such as smiling, laughing, crying, and blank stares.

[0072] Vital signs refer to physiological indicators that cannot be subjectively controlled by a person, such as changes in heart rate, blood pressure, and blood oxygen concentration. By analyzing the hotspot map of the human body, the changing patterns of capillary congestion during respiration can be obtained, thus yielding vital sign data such as changes in heart rate, blood pressure, and blood oxygen concentration.

[0073] In one possible implementation, the vehicle's external environment information includes at least the vehicle's geolocation, images and videos of the environment surrounding the vehicle, current weather, and current time.

[0074] The vehicle's driving status information includes at least the vehicle's speed, acceleration, power consumption, and vehicle balance status information.

[0075] In this embodiment of the invention, information about the vehicle's external environment may affect the emotional state of the users inside the vehicle. For the driver, the vehicle's driving status information partially reflects the driver's emotional state, and conversely, can also affect the driver's emotional state; for passengers, the vehicle's driving status information can also affect the passengers' emotional state.

[0076] For example, if the external environment of a vehicle is a congested market and the vehicle's acceleration is negative, it is easy to imagine that the emotional state of the users inside the vehicle would likely be irritable and anxious.

[0077] Step 102: Based on the target user's physiological state information, the external environment information, and the vehicle's driving state information, determine the target user's current emotional state and the emotion tag corresponding to the current emotional state.

[0078] The target user's current emotional state can be influenced and determined by the target user's physiological state, external environmental information, and vehicle driving status information. These three factors are complementary and mutually influential, and the target user's current emotional state can be accurately determined by considering these factors.

[0079] Various emotion labels and their corresponding emotional states are pre-defined. For example, emotion labels can include at least: pleasure, excitement, fatigue, anger, sadness, irritability, and calmness. Each emotion label corresponds to at least one emotional state.

[0080] Based on the correspondence between emotion tags and emotion states, the emotion tag corresponding to the current emotion state can be obtained.

[0081] Step 103: Using the first model, select a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user; the historical fragrance data includes fragrance data collected from the vehicle at each collection time before the current time and the emotion tag of the target user at the collection time.

[0082] In the fragrance system, users who frequently use the current vehicle are associated with historical fragrance data. This historical fragrance data includes various collection points within a historical time period, fragrance data collected from inside the vehicle, and the user's emotional state at those times. The fragrance data typically includes the fragrance type and concentration.

[0083] When a certain fragrance type and concentration is used in a car within a historical period, the user experiences a corresponding emotional state under that fragrance. This establishes a correlation between fragrance data and user emotional tags. This correlation is based on the user's actual usage experience, not on a third party's assumptions or assumptions; it reflects the user's genuine feelings.

[0084] Fragrance data that matches user emotion tags refers to fragrance data that can improve a user's emotional state when the user is in a negative emotional state such as anger, sadness, crying, drowsiness, or tension; or fragrance data that can cater to a user's positive emotional experience when the user is in a positive emotional state such as joy, peace, or excitement.

[0085] This invention selects a target fragrance from historical fragrance data that matches the user's current emotional state. Because this target fragrance has already been used by the target user and is not based on experience values ​​derived from large datasets of other users, its effect on the target user's emotions is definite. Therefore, the target fragrance can truly match the user's current emotional state.

[0086] Step 104: Apply the target fragrance to the vehicle.

[0087] The target fragrance includes the corresponding fragrance type and concentration. Placing the target fragrance in a vehicle can improve a user's negative emotional state or align with their positive emotional state.

[0088] For example, when a user is commuting home late at night after working overtime, a camera and infrared sensors measure the user's current emotional state, identifying drowsiness as the corresponding emotional label. At this point, a target fragrance matching the drowsy emotional label is retrieved from historical fragrance data. This target fragrance's scent type and concentration, when previously used by the user, have improved the user's drowsy state and had a refreshing effect. Therefore, the release of this target fragrance can help the user feel refreshed, relieve drowsiness, and relax.

[0089] In summary, the fragrance control method provided by this invention collects physiological state information of a target user inside a vehicle, external environmental information of the vehicle, and driving status information of the vehicle; based on the physiological state information of the target user, the external environmental information, and the driving status information of the vehicle, it determines the current emotional state of the target user and the corresponding emotion tag; using a first model, it selects a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user; the historical fragrance data includes fragrance data collected from the vehicle at various collection times before the current time and the emotion tag of the target user at each collection time; and it applies the target fragrance to the vehicle. Thus, by selecting a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user, this target fragrance is verified based on the target user's historical data to match the target user's current emotion tag. Therefore, the target fragrance can truly match the user's needs and improve the user's emotional state and experience.

[0090] In one possible implementation, such as Figure 2 As shown, before collecting the physiological state information of the target user inside the vehicle, the following steps 201-203 are also included:

[0091] Step 201: Use the camera to determine the number of users inside the vehicle;

[0092] Step 202: If there is only one user, identify the unique user inside the vehicle as the target user.

[0093] Step 203: If there are multiple users, the user who triggers the vehicle's fragrance button is identified as the target user, or the user located in a preset seat is identified as the target user.

[0094] Steps 201-203 describe the method for determining the target user. This method can be preset within the vehicle's fragrance system. For example, it can be set so that when there is only one person in the vehicle, that person is directly identified as the target user. When there are multiple people in the vehicle, the user who triggered the fragrance button is identified as the target user. Alternatively, instead of determining the target user based on the fragrance button's activation, the user in a preset seat can be identified as the target user. This preset seat can be pre-set within the fragrance system. For example, the preset seat could be the driver's seat, the front passenger seat, etc.

[0095] Identifying target users using the above method facilitates the automation of fragrance control. This involves automatically locking onto the target user, obtaining their physiological state information, and ultimately releasing a fragrance that matches that target user. This avoids the need for manual selection of target users each time, thus automating fragrance control and improving the user experience.

[0096] In one possible implementation, such as Figure 3 As shown, the historical fragrance data was obtained through the following method:

[0097] Step 301: During the target time period before the current time, when fragrance is placed in the vehicle, collect physiological state information of frequent users in the vehicle, external environmental information of the vehicle, and driving status information of the vehicle according to a preset cycle, as well as fragrance data in the vehicle; the fragrance data includes at least the fragrance type and fragrance concentration.

[0098] Step 302: Based on the user's physiological state information, the vehicle's external environment information, and the vehicle's driving status information at the time of collection, determine the user's emotional state at the time of collection and the corresponding emotion tag.

[0099] Step 303: Input the fragrance data at each collection time and the user's emotion label at the collection time into the second model to obtain the correspondence between each emotion label and the fragrance data;

[0100] Step 304: Store the correspondence between the emotion tags and the fragrance data in the cloud as historical fragrance data.

[0101] Steps 301-304 describe the method for collecting historical fragrance data. To ensure the timeliness of historical data, fragrance data inside the vehicle can be collected periodically, and the historical fragrance data can be updated accordingly.

[0102] Specifically, during the data collection period, the system can identify occupants who frequently sit in the vehicle based on images captured by the camera. Then, it collects the physiological state information of these occupants, the current external environment information of the vehicle, the vehicle's driving status information, and fragrance data such as fragrance type and concentration. These four types of information are then aligned chronologically. This allows the system to obtain each user's physiological state information, the vehicle's external environment information, the vehicle's driving status information, and the fragrance data at each collection point.

[0103] Then, based on the user's physiological state information, vehicle external environment information, and vehicle driving status information at each collection time, the user's emotional state and the corresponding emotional tag are obtained.

[0104] Emotional tags can be pre-set, such as at least: joy, excitement, fatigue, anger, sadness, irritability, and calmness. By determining the emotional tag corresponding to the user's emotional state, and then mapping the fragrance data at that moment of collection to the user's emotional tag, the correspondence between the user's emotional tag and the fragrance data at that moment is obtained.

[0105] Considering that users may have different emotional states for the same fragrance data at different collection times, the fragrance data and emotional states at each collection time can be input into a second model to train the correspondence between fragrance data and emotional states. Based on a large amount of training data, a stable correspondence between emotion labels and fragrance data can be obtained.

[0106] The correspondence between each user's emotional tags and fragrance data is stored in the cloud, forming historical fragrance data.

[0107] In one possible implementation, selecting a target fragrance that matches the mood tag from the historical fragrance data belonging to the target user using the first model includes the following steps 401-403:

[0108] Step 401: Determine the category of the emotion tag, which includes positive emotion category and negative emotion category;

[0109] Step 402: If the emotion tag belongs to the negative emotion category, use the first model to select a target fragrance that can improve the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data; the first model is constructed based on fragrance data and the user's emotional change data after using the fragrance data;

[0110] Step 403: If the emotion tag belongs to the positive emotion category, use the first model to select a target fragrance that matches the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data.

[0111] In steps 401-403, the category of the emotion label corresponding to the current emotional state is first determined. Emotion labels belonging to the positive emotion category include: pleasure, excitement, calmness, etc., while emotion labels belonging to the negative emotion category include: fatigue, anger, sadness, irritability, etc.

[0112] When the emotion label is negative, it's necessary to select a fragrance that can improve the user's current negative emotion. Therefore, the first model can be used to select a target fragrance from the positive emotion labels that can improve the current emotional state. For example, when the emotion label is irritability, selecting a target fragrance corresponding to the calming emotion label can alleviate and improve the user's irritability.

[0113] If the emotion label is positive, the user's emotional state does not need to be improved. The first model can be used to select a fragrance that matches the user's emotional state, thereby enhancing the user's emotional experience and making the positive emotional state last longer.

[0114] When constructing the first model, user emotion changes after using fragrance data can be obtained from historical fragrance data. Specifically, emotion change data can be obtained based on the user's emotional state at adjacent collection times. The fragrance data used within a time period and the emotion change data within that time period are mapped to obtain a correspondence between fragrance data and emotion change data. This correspondence is used to train the first initial model, resulting in a first model that can predict user emotion changes after using fragrance data.

[0115] The first model is built based on fragrance data and user mood change data after using the fragrance. Therefore, the first model can accurately select target fragrances that can improve the user's mood.

[0116] In one possible implementation, the collection of physiological state information of the target user inside the vehicle includes the following steps 501-503:

[0117] Step 501: Use the in-vehicle camera and infrared sensor to collect image information, video information, and hotspot information of the target user's body;

[0118] Step 502: Identify and parse the image information, the video information, and the hotspot area information to obtain the target user's facial expression information and vital sign information, wherein the vital sign information includes at least heart rate, blood pressure, and blood oxygen concentration;

[0119] Step 503: Use the facial expression information and the vital sign information as the physiological state information of the target user.

[0120] In steps 501-503, cameras and infrared sensors are installed inside the vehicle to collect images, videos, and hotspot information of the user's body.

[0121] The facial expression information of the target user can be obtained through image and video information, such as recognizing changes in facial features to obtain facial expression information.

[0122] Since there may be a discrepancy between facial expression information and a person's true emotional state, it is possible to further determine a person's true emotional state by obtaining their vital signs.

[0123] The target user can wear the infrared sensor as a wearable device or place it near them. The infrared sensor can detect heat emitted by the human body and detect human movement. For example, by sensing the subtle fluctuations in the human arteries, it can measure a person's heart rate, heartbeat, blood oxygen concentration, and other physiological information.

[0124] Facial expressions and vital signs together serve as physiological state information for the target user, which helps to comprehensively obtain the user's current external and internal state and accurately judge their emotional state.

[0125] In one possible implementation, the vehicle's external environment information includes at least the vehicle's geolocation, images and videos of the environment surrounding the vehicle, current weather, and current time.

[0126] The vehicle's driving status information includes at least the vehicle's speed, acceleration, power consumption, and vehicle balance status information.

[0127] In this embodiment of the invention, information about the vehicle's external environment may affect the emotional state of the users inside the vehicle. For the driver, the vehicle's driving status information partially reflects the driver's emotional state, and conversely, can also affect the driver's emotional state; for passengers, the vehicle's driving status information can also affect the passengers' emotional state.

[0128] Therefore, by integrating the target user's physiological state information with the vehicle's external environment information and driving status information, and by combining the user's physiological performance with the external environment to determine the target user's emotional state, a more accurate emotional state judgment can be obtained, which will help to select a suitable target fragrance to improve the emotional state.

[0129] Figure 4This is a structural block diagram of a fragrance control device provided in an embodiment of the present invention.

[0130] like Figure 4 As shown, the fragrance control device 600 includes:

[0131] The first acquisition module 601 is used to acquire physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving state information of the vehicle.

[0132] The first emotion tag determination module 602 is used to determine the current emotional state of the target user and the emotion tag corresponding to the current emotional state based on the target user's physiological state information, the external environment information, and the vehicle's driving state information.

[0133] The target fragrance selection module 603 is used to select a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user using a first model; the historical fragrance data includes fragrance data collected from the vehicle at various collection times before the current time and the emotion tag of the target user at the collection time.

[0134] The target fragrance delivery module 604 is used to deliver the target fragrance onto the vehicle.

[0135] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0136] In another embodiment of the present invention, a device is also provided, the device including a processor and a memory, the memory storing at least one instruction, at least one program, code set or instruction set, the at least one instruction, the at least one program, the code set or instruction set being loaded and executed by the processor to implement the fragrance control method described in the embodiment of the present invention.

[0137] In another embodiment of the present invention, a computer-readable storage medium is also provided, wherein at least one instruction, at least one program, code set or instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by a processor to implement the fragrance control method described in the embodiment of the present invention.

[0138] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0139] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0140] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0141] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A fragrance control method, characterized in that, The method includes: Collect physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving status information of the vehicle. Based on the target user's physiological state information, the external environment information, and the vehicle's driving status information, the target user's current emotional state and the corresponding emotion tag are determined. Using the first model, a target fragrance that matches the emotion tag is selected from the historical fragrance data belonging to the target user; the historical fragrance data includes fragrance data collected from the vehicle at each collection time before the current time and the emotion tag of the target user at the collection time. The target fragrance is applied to the vehicle; The historical fragrance data was obtained through the following methods: The fragrance data inside the vehicle at each collection time is input into the second model along with the user's emotional label at the collection time to obtain the correspondence between each emotional label and the fragrance data; the emotional label corresponds to the user's emotional state at the collection time. The correspondence between each user's emotion tags and fragrance data is stored in the cloud as historical fragrance data. The step of selecting a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user includes: The categories of the emotion tags are determined, including positive emotion categories and negative emotion categories; If the emotion tag belongs to the negative emotion category, the first model is used to select a target fragrance that can improve the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data; the first model is constructed based on fragrance data and the user's emotion change data after using the fragrance data; If the emotion tag belongs to the positive emotion category, the first model is used to select a target fragrance that matches the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data.

2. The method according to claim 1, characterized in that, Before collecting the physiological state information of the target user inside the vehicle, the following steps are also included: Use cameras to determine the number of users inside a vehicle; When there is only one user, the single user inside the vehicle is identified as the target user. When there are multiple users, the user who triggers the vehicle's fragrance button is identified as the target user, or the user located in a preset seat is identified as the target user.

3. The method according to claim 1, characterized in that, Before inputting the vehicle's fragrance data at each collection time and the user's emotion tags at those collection times into the second model, the process also includes: During the target time period prior to the current time, when fragrance is placed in the vehicle, physiological state information of frequent users in the vehicle, external environmental information of the vehicle, and driving status information of the vehicle are collected according to a preset cycle, as well as fragrance data in the vehicle; the fragrance data includes at least the fragrance type and fragrance concentration. Based on the user's physiological state information, the vehicle's external environment information, and the vehicle's driving status information at the time of data collection, the user's emotional state at the time of data collection and the corresponding emotion tag are determined.

4. The method according to any one of claims 1-3, characterized in that, The collection of physiological state information of the target user inside the vehicle includes: The system uses in-vehicle cameras and infrared sensors to collect image information, video information, and hotspot information of the target user's body. The image information, video information, and hotspot area information are identified and analyzed to obtain the target user's facial expression information and vital sign information, wherein the vital sign information includes at least heart rate, blood pressure, and blood oxygen concentration; The facial expression information and vital sign information are used as the physiological state information of the target user.

5. The method according to any one of claims 1-3, characterized in that, The vehicle's external environment information includes at least the vehicle's geographic location, images and videos of the environment surrounding the vehicle, current weather, and current time; The vehicle's driving status information includes at least the vehicle's speed, acceleration, power consumption, and vehicle balance status information.

6. A fragrance control device, characterized in that, The device includes: The first acquisition module is used to acquire physiological state information of the target user inside the vehicle, external environmental information of the vehicle, and driving status information of the vehicle. The first emotion tag determination module is used to determine the current emotional state of the target user and the emotion tag corresponding to the current emotional state based on the target user's physiological state information, the external environment information, and the vehicle's driving state information. The target fragrance selection module is used to select a target fragrance that matches the emotion tag from the historical fragrance data belonging to the target user using a first model; the historical fragrance data includes fragrance data collected from the vehicle at various collection times before the current time and the emotion tag of the target user at the collection time. A target fragrance delivery module is used to deliver the target fragrance onto the vehicle. The device also includes a historical fragrance data determination module, which is used for: The fragrance data inside the vehicle at each collection time is input into the second model along with the user's emotional label at the collection time to obtain the correspondence between each emotional label and the fragrance data; the emotional label corresponds to the user's emotional state at the collection time. The correspondence between each user's emotion tags and fragrance data is stored in the cloud as historical fragrance data. The target fragrance selection module is specifically used for: The categories of the emotion tags are determined, including positive emotion categories and negative emotion categories; If the emotion tag belongs to the negative emotion category, the first model is used to select a target fragrance that can improve the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data; the first model is constructed based on fragrance data and the user's emotion change data after using the fragrance data; If the emotion tag belongs to the positive emotion category, the first model is used to select a target fragrance that matches the current emotional state from the emotion tags belonging to the positive emotion category in the historical fragrance data.

7. The apparatus according to claim 6, characterized in that, The device further includes: The people acquisition module is used to acquire the number of users inside the vehicle using a camera. The first determining module is used to determine the unique user in the vehicle as the target user when the number of users is one. The second determining module is used to determine, when there are multiple users, the user who triggers the fragrance button of the vehicle as the target user, or the user located in a preset seat as the target user.

8. The apparatus according to claim 6, characterized in that, The device further includes: The second acquisition module is used to collect physiological state information of frequent users in the vehicle, external environmental information of the vehicle, and driving status information of the vehicle, as well as fragrance data in the vehicle, according to a preset cycle during a target time period before the current time, when fragrance is placed in the vehicle. The fragrance data includes at least the fragrance type and fragrance concentration. The second emotion tag determination module is used to determine the user's emotional state at the time of collection and the emotion tag corresponding to the emotional state based on the user's physiological state information, the vehicle's external environment information, and the vehicle's driving state information at the time of collection.

9. An electronic device, characterized in that, The electronic device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the fragrance control method as described in any one of claims 1-5.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or instruction set is loaded and executed by a processor to implement the fragrance control method as described in any one of claims 1-5.

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