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A Real-time Gesture Recognition System Based on EMG Signal

A technology of myoelectric signal and gesture recognition, applied in the field of human-computer interaction, can solve problems such as gaps, achieve high accuracy, facilitate real-time processing, and fast classification speed

Active Publication Date: 2020-12-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, most of the research on surface electromyography is in the offline analysis stage of the signal, and there is still a certain gap with the actual real-time analysis and processing requirements.

Method used

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  • A Real-time Gesture Recognition System Based on EMG Signal

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Embodiment Construction

[0026] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0027] Such as figure 1 As shown, the present invention provides a kind of real-time gesture recognition system based on myoelectric signal, including stimulation module, acquisition module, data interception module, data processing module, classification module and result output module;

[0028] On terminal A, the stimulation module guides the user with gestures for a specified duration and sends a marking signal to the acquisition module at the beginning of the specified duration. During the training phase, on the display screen of terminal A, the stimulation module prompts to use The user makes a specified gesture within a certain period of time, and in the real-time recognition stage, the stimulation module prompts the user to make any gesture within a certain period of time.

[0029] The acquisition module collects the myoelectric signal and the mark...

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Abstract

The invention discloses a real -time gesture recognition system based on muscle electricity signals includes stimulating modules, collecting modules, data intercept modules, data processing modules, classification modules, and results output modules;At the beginning of the time, the marking signal is issued, the collection module collects the muscle electricity signal and mark signal during the process of using the user's gesture; the data intercept module intercepts the muscle signal of the muscle electricity signal according to the time of the label signal and the specified time length;The muscle signal for noise reduction and feature extraction to obtain feature vectors; the classification module uses training data for training, and classified the unknown gesture; the result output module outputs the real -time classification results, and the present invention can realize real -time identification gestures.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and in particular relates to a real-time gesture recognition system based on electromyographic signals. Background technique [0002] Body language is one of the important ways for human beings to communicate and transmit information. The body movements of the upper limbs, especially the hands, are widely used. Able-bodied people can express their appreciation by giving thumbs up, and deaf-mute people can use sign language to communicate with others. Myoelectric signal is an electrophysiological signal generated along with muscle activity, which contains the information of muscle activity, and has broad application prospects in the field of human-computer interaction. [0003] Surface electromyography is the electromyographic signal collected by placing electrodes on the surface of the skin. Compared with the traditional invasive needle electrode collection method, the surface...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62
CPCG06F3/015G06F3/017G06F2203/011G06F2218/06G06F18/2411
Inventor 林艳飞臧博宇张航刘志文
Owner BEIJING INSTITUTE OF TECHNOLOGYGY