Vehicle-mounted comfort system control method and device based on smart bracelet and storage medium
A smart bracelet system for vehicle comfort systems uses behavioral and physiological data to automatically adjust settings, enhancing user experience and accuracy over traditional methods.
Patent Information
- Application Number
- CN202411543647.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-01-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing vehicle comfort systems in modern cars require manual adjustment or facial recognition, which is inconvenient and affects the driving experience, and face recognition is prone to errors due to insufficient light or facial occlusion.
A smart bracelet-based system that collects behavioral and physiological characteristic information to automatically identify a specific user and adjust vehicle comfort settings, using Bluetooth connectivity and feature extraction to ensure accurate authentication and personalized settings.
Enhances user experience by enabling automatic, accurate, and personalized vehicle comfort system adjustments without manual intervention, improving the accuracy of identity verification and reducing recognition errors.
Smart Images

Figure CN119239481A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of wearable devices, and in particular to a control method, device and storage medium of a vehicle comfort system based on a smart bracelet. Background Art
[0002] In the automotive field, the in-vehicle comfort system is an important part of improving the driving experience. Modern cars are usually equipped with a vehicle comfort system consisting of seat adjustment, rearview mirror adjustment, and air conditioning temperature control, but most of these functions rely on manual adjustment or personalized settings through facial recognition of the driver's identity. This method has problems such as inconvenient operation and affects the user's driving experience. Summary of the invention
[0003] The present application provides a vehicle comfort system control method, device and storage medium based on a smart bracelet to solve the problems raised by the above background technology.
[0004] In a first aspect, the present application provides a vehicle comfort system control method based on a smart bracelet, comprising: Obtaining a Bluetooth radiation range of the Bluetooth on the target vehicle; wherein the Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength; When a smart bracelet is detected approaching a target vehicle, behavioral characteristic information and physiological characteristic information of the target object are collected through the smart bracelet; wherein the target object wears the smart bracelet; Determining whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information; If it is a specific user, the location of the target object is obtained through the smart bracelet, and based on the location, it is determined whether the target object is within the Bluetooth radiation range; If so, obtain the vehicle comfort system parameter setting information corresponding to the target object in the database, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
[0005] In a possible implementation manner, the determining whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information includes: Performing feature extraction on the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information, and performing feature extraction on the physiological feature information to obtain a physiological feature matrix corresponding to the physiological feature information; Respectively obtaining first similarities between the behavior feature matrix and each registered behavior feature matrix in a registered behavior feature matrix library; If any of the first similarities is greater than a preset similarity, obtaining second similarities between the physiological feature matrix and each registered physiological feature matrix in the registered physiological feature matrix library; If any of the second similarities is greater than the preset similarity, the target object is determined to be a specific user.
[0006] In a possible implementation, the behavior feature information includes data information of multiple behaviors, and the feature extraction of the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information includes: For each of the behaviors, constructing a standardized data vector corresponding to the behavior based on the data information corresponding to the behavior; Arranging each of the standardized data vectors in sequence in a preset matrix bracket based on a preset sorting method to obtain a standardized data matrix corresponding to the behavior feature information; Calculating a covariance matrix corresponding to the standardized data matrix, and performing eigenvalue decomposition on the covariance matrix to obtain a plurality of eigenvalues corresponding to the covariance matrix and eigenvectors corresponding to each eigenvalue; Generate a projection matrix based on each of the eigenvalues and the eigenvectors corresponding to each of the eigenvalues; The standardized data matrix is projected onto the projection matrix to obtain the behavior feature matrix.
[0007] In a possible implementation manner, constructing a standardized data vector corresponding to the behavior based on the data information corresponding to the behavior includes: Standardizing each data in the data information in sequence to obtain standardized data information corresponding to the data information; Arrange the individual data in the standardized data information in sequence in preset vector brackets to obtain the standardized data vector.
[0008] In a possible implementation manner, generating a projection matrix based on each of the eigenvalues and an eigenvector corresponding to each of the eigenvalues includes: Based on the eigenvalues corresponding to the eigenvectors, the eigenvectors are arranged in sequence from left to right in a preset matrix bracket to obtain the projection matrix; in the projection matrix, the eigenvalues corresponding to the eigenvectors increase in sequence from left to right.
[0009] In a possible implementation, before obtaining the Bluetooth radiation range of the Bluetooth on the target vehicle, the method further includes: Adding the target vehicle to the Bluetooth whitelist; Based on the Bluetooth, the Bluetooth name and Bluetooth password of the Bluetooth are sent to the target vehicle through a signal frame; after the target vehicle receives the signal frame, it accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame.
[0010] In a possible implementation, based on the Bluetooth, sending the Bluetooth name and Bluetooth password of the Bluetooth to the target vehicle through a signal frame includes: Based on the Bluetooth, a plurality of signal frames arranged in sequence are generated; a first target signal frame and a second target signal frame are randomly selected from the plurality of signal frames, wherein the second target signal frame is located after the first target signal frame, and the first target signal frame is not the first signal frame; Determining the first signal frame as the third target signal frame; Adding the Bluetooth name to the first target signal frame, and recording the first sequence number of the first target signal frame; Adding the Bluetooth password to the second target signal frame, and recording the second sequence number of the second target signal frame; Adding the first sequence number and the second sequence number to the third target signal frame in sequence; Adding random garbled code information to the remaining signal frames except the first target signal frame, the second target signal frame and the third target signal frame; The signal frames with added information are sequentially sent to the target vehicle.
[0011] In a possible implementation, after receiving the signal frame, the target vehicle accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame, including: After receiving each of the signal frames, the target vehicle obtains a first sequence number and a second sequence number in the first signal frame; Determine a first target signal frame in each of the signal frames according to the first sequence number, and obtain the Bluetooth name from the first target signal frame; Determine a second target signal frame in each of the signal frames according to the second sequence number, and obtain the Bluetooth password from the second target signal frame; Access the Bluetooth based on the Bluetooth name and the Bluetooth password.
[0012] In a second aspect, the present application provides a vehicle comfort system control device based on a smart bracelet, comprising: An acquisition module, used for acquiring a Bluetooth radiation range of a Bluetooth on a target vehicle; wherein a Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength; A collection module, used for collecting behavioral characteristic information and physiological characteristic information of a target object through the smart bracelet when it is detected that a smart bracelet is gradually approaching a target vehicle; wherein the target object is wearing the smart bracelet; A first judgment module, used for judging whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information; A second judgment module is used to obtain the location of the target object through the smart bracelet if the target object is a specific user, and judge whether the target object is within the Bluetooth radiation range based on the location; The adjustment module is used to obtain the vehicle comfort system parameter setting information corresponding to the target object in the database if the target object is within the Bluetooth radiation range, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
[0013] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, the method for controlling a vehicle comfort system based on a smart bracelet as described in any of the above items is implemented.
[0014] The present application provides a vehicle comfort system control method, device and storage medium based on a smart bracelet, the method comprising: obtaining the Bluetooth radiation range of the Bluetooth on the target vehicle; wherein the Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than the preset Bluetooth signal strength; when it is detected that a smart bracelet is gradually approaching the target vehicle, collecting the behavior characteristic information and physiological characteristic information of the target object through the smart bracelet; wherein the target object wears the smart bracelet; based on the behavior characteristic information and the physiological characteristic information, determining whether the target object is a specific user; if it is a specific user, obtaining the location of the target object through the smart bracelet, and determining whether the target object is within the Bluetooth radiation range based on the location; if it is, obtaining the vehicle comfort system parameter setting information corresponding to the target object in a database, and adjusting the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information. This method, on the one hand, can automatically verify the identity of the target object as the target object gradually approaches the target vehicle, and retrieve the target object's in-vehicle comfort system parameter setting information from the database when the identity authentication is successful, so that the user does not need to manually adjust the seat, rearview mirror, air conditioner, etc., the system automatically performs personalized adjustments, which significantly improves the user's driving experience. On the other hand, compared with traditional face recognition, this embodiment verifies the identity of the target object through the target object's behavioral feature information and physiological feature information, greatly improving the accuracy of identity authentication, avoiding recognition errors caused by insufficient light, facial occlusion, etc., and improving the intelligence level of the system. On the other hand, the method provided by this embodiment can realize personalized adjustment of the user's vehicle comfort system before the user enters the vehicle, so that the user can immediately enjoy the in-vehicle environment that suits his personal habits every time he enters the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.
[0016] Figure 1 A flow chart of a method for controlling a vehicle comfort system based on a smart bracelet provided in an embodiment of the present application; Figure 2 A schematic block diagram of the structure of a vehicle comfort system control device based on a smart bracelet provided in an embodiment of the present application. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0018] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.
[0019] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0020] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0021] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0022] See also Figure 1 , Figure 1 A flow chart of a vehicle comfort system control method based on a smart bracelet provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the vehicle comfort system control method based on the smart bracelet provided in the embodiment of the present application includes steps S1 to S5.
[0023] Step S1, obtaining a Bluetooth radiation range of the Bluetooth on the target vehicle; wherein the Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength.
[0024] Step S2: when it is detected that a smart bracelet is gradually approaching a target vehicle, behavioral characteristic information and physiological characteristic information of the target object are collected through the smart bracelet; wherein the target object wears the smart bracelet.
[0025] Step S3: determining whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information.
[0026] Step S4: If it is a specific user, the location of the target object is obtained through the smart bracelet, and based on the location, it is determined whether the target object is within the Bluetooth radiation range.
[0027] Step S5: If yes, obtain the vehicle comfort system parameter setting information corresponding to the target object in the database, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
[0028] It should be noted that the execution subject of this embodiment may be a server or a terminal or a vehicle comfort system control device based on a smart bracelet. The following description will be made using a server as an example.
[0029] In this embodiment, when the target object needs to be in the short range of the target vehicle, the on-board comfort system of the target vehicle is adjusted. Therefore, it is necessary to first determine the short range of the target vehicle. As described in the above step S1, the target vehicle is connected to the Bluetooth in the car. Therefore, the Bluetooth can be used as a basis for judging whether the target object is in the short range. Specifically, the server determines that the area where the Bluetooth signal strength of the Bluetooth is higher than the preset Bluetooth signal strength is the hotspot radiation range, and the hotspot radiation range is the short range of the target vehicle.
[0030] The server obtains the distance between each smart bracelet near the target vehicle and the target vehicle in real time through the positioning system. As described in the above step S2, when the server detects that a smart bracelet is gradually approaching the target vehicle, the server collects the behavior characteristic information and physiological characteristic information of the target object through the smart bracelet, wherein the target object wears the smart bracelet, the behavior characteristic information includes but is not limited to the stride, the step frequency and the wrist flapping amplitude, and the physiological characteristic information includes the skin electrical response, the pulse beating intensity, the body temperature and the blood oxygen saturation.
[0031] As described in the above step S3, it is determined whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information. Specifically, step S3 includes the following steps: Performing feature extraction on the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information, and performing feature extraction on the physiological feature information to obtain a physiological feature matrix corresponding to the physiological feature information; respectively obtaining first similarities between the behavior feature matrix and each registered behavior feature matrix in a registered behavior feature matrix library; specifically, obtaining the first similarity by calculating cosine similarities between the behavior feature matrix and each registered behavior feature matrix; wherein the registered behavior feature matrix library is obtained by collecting behavior feature information of a specific user multiple times and extracting features from the behavior feature information collected each time; If any of the first similarities is greater than a preset similarity, a second similarity between the physiological feature matrix and each registered physiological feature matrix in a registered physiological feature matrix library is obtained respectively; specifically, the second similarity is obtained by calculating the cosine similarity between the physiological feature matrix and each registered physiological feature matrix; wherein the registered physiological feature matrix library is obtained by collecting physiological feature information of a specific user multiple times and extracting features from the physiological feature information collected each time; If any of the second similarities is greater than the preset similarity, the target object is determined to be a specific user.
[0032] The behavior feature information includes data information of multiple behaviors, and the feature extraction of the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information includes the following steps: For each of the behaviors, a standardized data vector corresponding to the behavior is constructed based on the data information corresponding to the behavior; specifically, each data in the data information is standardized in sequence using formula (1) to obtain standardized data information corresponding to the data information; each data in the standardized data information is arranged in sequence in a preset vector bracket to obtain the standardized data vector; (1) in, z is the standardized data, x is the original data, μ is the mean value corresponding to each data in the data information, σ is the standard deviation corresponding to each data in the data information.
[0033] Arranging each of the standardized data vectors in sequence in a preset matrix bracket based on a preset sorting method to obtain a standardized data matrix corresponding to the behavior feature information; Calculate the covariance matrix corresponding to the standardized data matrix using formula (2), and perform eigenvalue decomposition on the covariance matrix to obtain multiple eigenvalues corresponding to the covariance matrix and eigenvectors corresponding to each eigenvalue; (2) in, Cov(X) is the covariance matrix, X is the standardized data matrix, n is the number of data in the data information, X T for X The transposed matrix of .
[0034] Generate a projection matrix based on each of the eigenvalues and the eigenvectors corresponding to each of the eigenvalues; specifically, arrange each of the eigenvectors in a preset matrix bracket from left to right in sequence based on the eigenvalues corresponding to each of the eigenvectors to obtain the projection matrix; in the projection matrix, the eigenvalues corresponding to each of the eigenvectors increase in sequence from left to right; The standardized data matrix is projected onto the projection matrix to obtain the behavior feature matrix; specifically, the standardized data is multiplied by the projection matrix to obtain the behavior feature matrix.
[0035] Table 1 (3) (4) (5) (6) For example, the behavior characteristic information is shown in Table 1. According to formula (1), the standardized data information corresponding to the stride length is {0, 0.63, -0.63, 1.27, -1.27}, the standardized data information corresponding to the step frequency is {0.63, 0.63, -0.63, 1.27, -1.27}, and the standardized data information corresponding to the wrist swing amplitude is {0.67, 1.33, -0.67, 2.00, -1.33}. Then the standardized data matrix X is shown in formula (3). The covariance corresponding to the standardized data matrix is calculated using formula (2): The result is shown in formula (4). Eigenvalue decomposition is performed on formula (4), and the eigenvalues obtained are λ1=3.5, λ2=0.3, λ3=0.2, the eigenvector corresponding to λ1 is v1=(0.5, 0.5, 0.7), the eigenvector corresponding to λ2 is v2=(-0.6, 0.4, -0.6), and the eigenvector corresponding to λ3 is v3=(0.6, -0.6, 0.2). The projection matrix W is shown in formula (5), and the behavior feature matrix is Y=XW. Specifically, the behavior feature matrix Y is shown in formula (6).
[0036] It should be noted that the method of extracting features from the physiological feature information to obtain a physiological feature matrix corresponding to the physiological feature information is the same as the method of extracting features from the behavioral feature information to obtain a behavioral feature matrix corresponding to the behavioral feature information, which will not be repeated here.
[0037] It can be understood that the behavior feature matrix provided in this embodiment reflects the global characteristics of the behavior feature information, which is helpful to improve the accuracy of the judgment result.
[0038] As described in the above step S4, if the target object is a specific user, the server obtains the location of the target object through the smart bracelet, and determines whether the target object is within the Bluetooth radiation range based on the location.
[0039] As described in step S5 above, if the target object is within the Bluetooth radiation range, the server obtains the vehicle comfort system parameter setting information corresponding to the target object in the database, and adjusts the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
[0040] The method provided in this embodiment, on the one hand, can automatically verify the identity of the target object as the target object gradually approaches the target vehicle, and retrieve the in-vehicle comfort system parameter setting information of the target object from the database when the identity authentication is successful, so that the user does not need to manually adjust the seat, rearview mirror, air conditioner, etc., the system automatically performs personalized adjustments, which significantly improves the user's driving experience. On the other hand, compared with traditional face recognition, this embodiment verifies the identity of the target object through the behavioral characteristic information and physiological characteristic information of the target object, which greatly improves the accuracy of identity authentication, avoids recognition errors caused by insufficient light, facial occlusion, etc., and improves the intelligence level of the system. On the other hand, the method provided in this embodiment can realize personalized adjustment of the vehicle comfort system for the user before the user enters the vehicle, so that the user can immediately enjoy the in-vehicle environment that suits his personal habits every time he enters the vehicle.
[0041] In some embodiments, before obtaining the Bluetooth radiation range of the Bluetooth on the target vehicle, the method further includes: Adding the target vehicle to the Bluetooth whitelist; Based on the Bluetooth, the Bluetooth name and Bluetooth password of the Bluetooth are sent to the target vehicle through a signal frame; after the target vehicle receives the signal frame, it accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame.
[0042] In this embodiment, based on the Bluetooth, sending the Bluetooth name and Bluetooth password of the Bluetooth to the target vehicle through a signal frame includes the following steps: Based on the Bluetooth, a plurality of signal frames arranged in sequence are generated; a first target signal frame and a second target signal frame are randomly selected from the plurality of signal frames, wherein the second target signal frame is located after the first target signal frame, and the first target signal frame is not the first signal frame; Determining the first signal frame as the third target signal frame; Adding the Bluetooth name to the first target signal frame, and recording the first sequence number of the first target signal frame; Adding the Bluetooth password to the second target signal frame, and recording the second sequence number of the second target signal frame; Adding the first sequence number and the second sequence number to the third target signal frame in sequence; Adding random garbled code information to the remaining signal frames except the first target signal frame, the second target signal frame and the third target signal frame; The signal frames with added information are sequentially sent to the target vehicle.
[0043] In this embodiment, after the target vehicle receives the signal frame, it accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame, including the following steps: After receiving each of the signal frames, the target vehicle obtains a first sequence number and a second sequence number in the first signal frame; Determine a first target signal frame in each of the signal frames according to the first sequence number, and obtain the Bluetooth name from the first target signal frame; Determine a second target signal frame in each of the signal frames according to the second sequence number, and obtain the Bluetooth password from the second target signal frame; Access the Bluetooth based on the Bluetooth name and the Bluetooth password.
[0044] The method provided in this embodiment, on the one hand, realizes the automatic access of the target vehicle to the Bluetooth, and on the other hand, improves the security of communication between the Bluetooth and the target vehicle, reduces the risk of leakage of the Bluetooth name and the Bluetooth password, and helps prevent unauthorized devices from accessing the Bluetooth.
[0045] See also Figure 2 , Figure 2 A schematic block diagram of the structure of a vehicle comfort system control device 100 based on a smart bracelet provided in an embodiment of the present application, such as Figure 2 As shown, the vehicle comfort system control device 100 based on the smart bracelet provided in the embodiment of the present application includes: The acquisition module 110 is used to acquire the Bluetooth radiation range of the Bluetooth on the target vehicle; wherein the Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength.
[0046] The collection module 120 is used to collect the behavior characteristic information and physiological characteristic information of the target object through the smart bracelet when it is detected that a smart bracelet is gradually approaching the target vehicle; wherein the target object wears the smart bracelet.
[0047] The first judgment module 130 is used to judge whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information.
[0048] The second judgment module 140 is used to obtain the location of the target object through the smart bracelet if the target object is a specific user, and judge whether the target object is within the Bluetooth radiation range based on the location.
[0049] The adjustment module 150 is used to obtain the vehicle comfort system parameter setting information corresponding to the target object from the database if the target object is within the Bluetooth radiation range, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
[0050] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned embodiment of the vehicle comfort system control method based on the smart bracelet, and will not be repeated here.
[0051] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the one or more processors implement the vehicle comfort system control method based on the smart bracelet as provided in the embodiment of the present application.
[0052] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A vehicle comfort system control method based on a smart bracelet, characterized in that: include: Obtaining a Bluetooth radiation range of the Bluetooth on the target vehicle; wherein the Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength; When a smart bracelet is detected approaching a target vehicle, behavioral characteristic information and physiological characteristic information of the target object are collected through the smart bracelet; wherein the target object wears the smart bracelet; Determining whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information; If it is a specific user, the location of the target object is obtained through the smart bracelet, and based on the location, it is determined whether the target object is within the Bluetooth radiation range; If so, obtain the vehicle comfort system parameter setting information corresponding to the target object in the database, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
2. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 1 is characterized in that: The determining whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information includes: Performing feature extraction on the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information, and performing feature extraction on the physiological feature information to obtain a physiological feature matrix corresponding to the physiological feature information; Respectively obtaining first similarities between the behavior feature matrix and each registered behavior feature matrix in a registered behavior feature matrix library; If any of the first similarities is greater than a preset similarity, obtaining second similarities between the physiological feature matrix and each registered physiological feature matrix in the registered physiological feature matrix library; If any of the second similarities is greater than the preset similarity, the target object is determined to be a specific user.
3. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 2 is characterized in that: The behavior feature information includes data information of multiple behaviors, and the feature extraction of the behavior feature information to obtain a behavior feature matrix corresponding to the behavior feature information includes: For each of the behaviors, constructing a standardized data vector corresponding to the behavior based on the data information corresponding to the behavior; Arranging each of the standardized data vectors in sequence in a preset matrix bracket based on a preset sorting method to obtain a standardized data matrix corresponding to the behavior feature information; Calculating a covariance matrix corresponding to the standardized data matrix, and performing eigenvalue decomposition on the covariance matrix to obtain a plurality of eigenvalues corresponding to the covariance matrix and eigenvectors corresponding to each eigenvalue; Generate a projection matrix based on each of the eigenvalues and the eigenvectors corresponding to each of the eigenvalues; The standardized data matrix is projected onto the projection matrix to obtain the behavior feature matrix.
4. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 3 is characterized in that: The constructing a standardized data vector corresponding to the behavior based on the data information corresponding to the behavior includes: Standardizing each data in the data information in sequence to obtain standardized data information corresponding to the data information; Arrange the individual data in the standardized data information in sequence in preset vector brackets to obtain the standardized data vector.
5. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 3 is characterized in that: The generating a projection matrix based on each of the eigenvalues and the eigenvectors corresponding to each of the eigenvalues comprises: Based on the eigenvalues corresponding to the eigenvectors, the eigenvectors are arranged in sequence from left to right in a preset matrix bracket to obtain the projection matrix; in the projection matrix, the eigenvalues corresponding to the eigenvectors increase in sequence from left to right.
6. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 1 is characterized in that: Before obtaining the Bluetooth radiation range of the Bluetooth on the target vehicle, the method further includes: Adding the target vehicle to the Bluetooth whitelist; Based on the Bluetooth, the Bluetooth name and Bluetooth password of the Bluetooth are sent to the target vehicle through a signal frame; after the target vehicle receives the signal frame, it accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame.
7. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 6 is characterized in that: The method of sending the Bluetooth name and Bluetooth password of the Bluetooth to the target vehicle through a signal frame based on the Bluetooth comprises: Based on the Bluetooth, a plurality of signal frames arranged in sequence are generated; a first target signal frame and a second target signal frame are randomly selected from the plurality of signal frames, wherein the second target signal frame is located after the first target signal frame, and the first target signal frame is not the first signal frame; Determining the first signal frame as the third target signal frame; Adding the Bluetooth name to the first target signal frame, and recording the first sequence number of the first target signal frame; Adding the Bluetooth password to the second target signal frame, and recording the second sequence number of the second target signal frame; Adding the first sequence number and the second sequence number to the third target signal frame in sequence; Adding random garbled code information to the remaining signal frames except the first target signal frame, the second target signal frame and the third target signal frame; The signal frames with added information are sequentially sent to the target vehicle.
8. The vehicle-mounted comfort system control method based on the smart bracelet according to claim 7 is characterized in that: After receiving the signal frame, the target vehicle accesses the Bluetooth according to the Bluetooth name and Bluetooth password in the signal frame, including: After receiving each of the signal frames, the target vehicle obtains a first sequence number and a second sequence number in the first signal frame; Determine a first target signal frame in each of the signal frames according to the first sequence number, and obtain the Bluetooth name from the first target signal frame; Determine a second target signal frame in each of the signal frames according to the second sequence number, and obtain the Bluetooth password from the second target signal frame; Access the Bluetooth based on the Bluetooth name and the Bluetooth password.
9. A vehicle comfort system control device based on a smart bracelet, characterized in that: include: An acquisition module, used for acquiring a Bluetooth radiation range of a Bluetooth on a target vehicle; wherein a Bluetooth signal strength of the Bluetooth within the Bluetooth radiation range is higher than a preset Bluetooth signal strength; A collection module, used for collecting behavioral characteristic information and physiological characteristic information of a target object through the smart bracelet when a smart bracelet is detected to be gradually approaching a target vehicle; wherein the target object is wearing the smart bracelet; A first judgment module, used for judging whether the target object is a specific user based on the behavior characteristic information and the physiological characteristic information; A second judgment module is used to obtain the location of the target object through the smart bracelet if the target object is a specific user, and judge whether the target object is within the Bluetooth radiation range based on the location; The adjustment module is used to obtain the vehicle comfort system parameter setting information corresponding to the target object in the database if the target object is within the Bluetooth radiation range, and adjust the vehicle comfort system of the target vehicle based on the vehicle comfort system parameter setting information.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the computer program is executed by the processor, the vehicle-mounted comfort system control method based on the smart bracelet as described in any one of claims 1 to 8 is implemented.
