Method and terminal for managing user portrait in dual-mode mutual-inductance intelligent space
A technology of intelligent space and management methods, applied in the field of data processing, can solve problems such as inconvenience, affecting marketing effect, customer perception, and user disgust
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Embodiment 1
[0063] Please refer to figure 1 , a dual-mode mutual induction intelligent space user portrait management method, comprising the steps of:
[0064] S1. Obtain the IoT data of the user, and determine the situation of the user according to the IoT data;
[0065] Specifically, S11. Obtain the user's IoT data through the IoT device;
[0066] Among them, IoT devices include smart home appliances, smart watches, smart bracelets, etc.;
[0067] S12. Based on the obtained Internet of Things data, the SVM algorithm is used to determine the motion state of the user;
[0068] S13. Using the BP algorithm to determine the situation of the user according to the determined motion state of the user;
[0069] S2. Obtaining the Internet data of the user;
[0070] S3. Constructing a user portrait matching the user according to the situation of the user and the Internet data;
[0071] Specifically, according to the situation of the user and the Internet data, a deep learning algorithm is use...
Embodiment 2
[0075] Please refer to figure 2 , a user portrait management terminal in a dual-mode mutual sensing intelligent space, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the following steps when executing the computer program:
[0076] S1. Obtain the IoT data of the user, and determine the situation of the user according to the IoT data;
[0077] Specifically, S11. Obtain the user's IoT data through the IoT device;
[0078] Among them, IoT devices include smart home appliances, smart watches, smart bracelets, etc.;
[0079] S12. Based on the obtained Internet of Things data, the SVM algorithm is used to determine the motion state of the user;
[0080] S13. Using the BP algorithm to determine the situation of the user according to the determined motion state of the user;
[0081] S2. Obtaining the Internet data of the user;
[0082] S3. Constructing a user portrait matching the user accor...
Embodiment 3
[0087] Apply the above dual-mode mutual induction intelligent space user portrait management method to actual application scenarios:
[0088] For example, a user is sitting on the sofa watching TV. At this time, the smart watch or smart bracelet judges that the user is sitting, and by judging that the TV is on, it can be judged that the situation the user is in at this time is: sitting watch tv on sofa
[0089] Specifically, firstly, by collecting the data collected by the smart bracelet or watch, the SVM algorithm is used to determine that the state of the user is a sitting state;
[0090] For example, according to the sampling rate of 250Hz, 5s is a time window to collect the time series data of the acceleration sensor in the smart bracelet or smart watch on the x, y, and z axes;
[0091] Through the SVM algorithm, the user trains a set of sampling data with a sampling rate of 250Hz, and a time window of 5s, and compares it with the algorithm built into the embedded program...
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