Rehabilitation detection method based on channel state information and BiLSTM-Attention

Abstract

The invention provides a rehabilitation detection method based on channel state information and BiLSTM-Attention, and the rehabilitation detection method comprises the implementation steps: collectingCSI data of a rehabilitation action in an indoor environment, and extracting amplitude information; performing preprocessing steps of low-pass filtering, normalization, principal component analysis and the like on the CSI data; segmenting the preprocessed signals, detecting starting and ending points of actions, and dividing segmented data segments into a training set and a test set; and inputting the training set into the deep neural network based on BiLSTM-Attention to train the action recognition model to obtain the rehabilitation action recognition model. The collected CSI test set data can be classified by adopting the model, and the purposes of rehabilitation action recognition and rehabilitation degree scoring are achieved. According to the rehabilitation detection method, the deepneural network based on BiLSTM-Attention is adopted for automatic learning and feature selection, and recognition of ten rehabilitation degrees of three different actions is achieved.

Description

Technical field [0001] The present invention relates to the technical field of human body perception and behavior recognition, in particular to a rehabilitation detection method based on channel state information and BiLSTM-Attention, which is used to solve the problem of using WiFi signals to extract human behavior characteristics in an indoor environment to realize rehabilitation action recognition and rehabilitation degree The question of scoring. Background technique [0002] With the rapid development of indoor wireless network application technology and the widespread use of wireless access devices, as well as the gradual maturity of artificial intelligence technology, human body perception and behavior recognition technology based on WiFi signals has become an important topic, and a considerable number The people provide convenience and have very important research value and significance in many fields such as human body detection, human-computer interaction, medical monit...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a rehabilitation detection method based on channel state information and BiLSTM-Attention to solve the problems of human error and low efficiency in the prior art

Images