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Gesture recognition system and method based on muscle electrical impedance signals

A technology of gesture recognition and electrical impedance, which is applied in the field of gesture recognition systems, can solve the problems of increased difficulty in hardware and software design of wearable devices, easy acquisition by external interference, and complex processing processes, etc., to achieve simple preprocessing, high sensitivity, good robustness

Pending Publication Date: 2020-12-18
FUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The surface electromyographic signal reflects the essential information of the muscle, but it is a very weak electrical signal. The acquisition is easily disturbed by the outside world, and the subsequent processing process is complicated, which increases the difficulty of the hardware and software design of wearable devices.

Method used

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  • Gesture recognition system and method based on muscle electrical impedance signals
  • Gesture recognition system and method based on muscle electrical impedance signals
  • Gesture recognition system and method based on muscle electrical impedance signals

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Experimental program
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Embodiment 1

[0048]In this embodiment, when working, put the device at the correct position of the forearm, adjust the main control module, inject the AC signal through the constant voltage source module, and use the amplitude and phase detection circuit to measure the input voltage signal and the voltage at both ends of the reference resistor The attenuation value and phase difference of the signal, the AD module samples and transmits the data to the host computer through the Bluetooth module. Perform data preprocessing and model training on the host computer. A series of EIM signals of different gestures are collected as the training set, and the impedance mode and phase are normalized as the two inputs of the network, and a classification model is built in the host computer for training. During real-time recognition, the impedance information of different gestures is collected in real time, and the trained classifier model is used to classify them, and the results are displayed on the h...

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Abstract

The invention relates to a gesture recognition system based on muscle electrical impedance signals. The gesture recognition system comprises a signal acquisition unit and an upper computer data processing unit, the signal acquisition unit comprises a main control module, a signal driving module, a signal detection module, an AD acquisition module and a wireless communication module; the main control module is connected with the signal driving module, the AD acquisition module and the wireless communication module; the signal detection module is respectively connected with an electrode and theAD acquisition module; the wireless communication module is connected with an upper computer through wireless transmission and transmits collected signals to the upper computer for processing. The system and method can directly reflect the intrinsic state of the muscle, has good sensitivity to low-speed movement, and is high in muscle contraction sensitivity, good in robustness, large in signal amplitude, controllable in frequency and simple in preprocessing.

Description

technical field [0001] The invention relates to the field of machine vision, and relates to a gesture recognition system based on muscle electrical impedance signals. Background technique [0002] Machine vision is the most commonly used gesture recognition method by capturing human motion images. However, its privacy is intrusive, easily affected by light, limited observation range, and easily occluded. These problems limit the use of machine vision in gesture recognition. Identify field applications. With the development of sensor technology, some wearable gesture recognition devices based on sensor technology have gradually emerged in recent years, mainly including motion sensors (such as gyroscopes, accelerometers, etc.) and surface electromyography sensors. Accelerometers and gyroscopes reflect the movement information of the limbs, which are less sensitive to low-speed movements. The surface electromyographic signal reflects the essential information of the muscle, b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/12
Inventor 高跃明周瑸杜民姜海燕吴嘉辉史婧婷
Owner FUZHOU UNIV
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