Method and device for determining close contact person, equipment and storage medium
A definite method and close technology, applied in the direction of character and pattern recognition, epidemic warning system, machine learning, etc., can solve the problems of virus spread, prone to missed detection, incomplete and incomplete investigation, etc.
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Embodiment 1
[0029] figure 1 It is a schematic flowchart of a method for determining close contacts provided by Embodiment 1 of the present invention. This embodiment can be applied to the scene of automatic identification of persons who have had close contact with the user. This method can be determined by close contacts device, which may be composed of hardware and / or software, and may be integrated into a terminal device. In this embodiment, the terminal device may be any hardware device with a data processing function, such as a smart phone or a wearable device. The method specifically includes the following:
[0030] S101. Acquire first data and second data of at least one other terminal device around the terminal device.
[0031] Wherein, the first data is data of the terminal device itself, and the second data is data of other terminal devices. In this embodiment, the first data and the second data may include: screen status, acceleration, light intensity, call status, location in...
Embodiment 2
[0051] figure 2 It is a schematic flowchart of a method for determining close contacts provided in Embodiment 2 of the present invention, which is optimized on the basis of the above embodiments. Such as figure 2 As shown, the method is as follows:
[0052] S201. Acquire first data and second data of at least one other terminal device around the terminal device.
[0053] S202. Input the first type of data in the first data and the first type of data in the second data into the grip state recognition model, so as to determine the grip state of the first user and the grip state of the second user. holding state.
[0054] Wherein, the gripping state recognition model is determined by using the first type of data sample set to train the first machine learning model. In this embodiment, the first type of data sample set is a sample set marked with a holding state.
[0055] In this embodiment, the user's holding state may include but not limited to: holding by the ear, holdin...
Embodiment 3
[0100] image 3 It is a schematic flow chart of a method for determining close contacts provided by Embodiment 3 of the present invention. On the basis of the above embodiments, in this embodiment, "combine the first data, the exercise state of the first user, and the The second data and the second user's motion state are input into the close contact investigation model to determine the second user who is in close contact with the first user for further optimization. Such as image 3 As shown, the method is as follows:
[0101] S301. Acquire first data and second data of at least one other terminal device around the terminal device.
[0102] S302. According to the first type of data in the first data, determine the motion state of the terminal device corresponding to the first user, and according to the first type of data in the second data, determine that the other terminal device corresponds to the first user. 2. The motion state of the user.
[0103] S303. Input the fir...
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