Identity recognition method based on multimode perception

Abstract

The invention relates to an identity recognition method based on multimode perception, which comprises the steps that two lightweight nodes are arranged in a room, wherein one of the nodes serves as asender for sending wireless signals, the other serves as a receiver for collecting wireless channel state information (CSI), and the two nodes simultaneously collect sound signals by using a microphone; in a data training stage, CSI signals and sound signals, which are generated by a user when walking on a fixed route, are collected in a quiet environment, feature extraction is performed on the signals, and a feature database and classifiers are established; in an identity recognition stage, CSI and sound signals, which are generated by the user when walking on any route in any environment, are collected, and the confidence coefficient and the environmental noise level of the CSI and sound signals in the stage are estimated, noise analysis and feature extraction are performed on the CSI and sound signals, feature data is transmitted to a server for comprehensive analysis, features extracted in the identity recognition stage are compared with feature extracted in the training stage, and classification results of multiple classifiers are integrated so as to realize identity recognition for a user.

Description

technical field [0001] The invention relates to an identity recognition method based on multi-mode perception, in particular to a method for obtaining reliable wireless state information CSI and sound information, and realizing low-cost, high-precision, and high-robust identity recognition methods. Background technique [0002] The research on identification methods has always been a hot spot in international research, and it is an indispensable technical requirement in the future smart home environment. The identification method using items such as magnetic cards requires users to wear these items, which is inconvenient to use and has hidden dangers of fraudulent use. In the field where there is no need to wear a device, unlike the traditional identification method using a camera, identification using wireless signals has attracted widespread attention due to its low cost, high universality, and high security. In a smart home, if the system can realize identity recognition...

AI Technical Summary

Problems solved by technology

There are two defects in this method: 1) A single camera has a detection dead angle, and deploying a large number of cameras indoors requires relatively large overhead

2) The violation of user privacy information is relatively large

However, this kind of supervised learning method needs to identify and train the same path that people walk indoors, which limits the practical value of this kind of method

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