Device and method for controlling intelligent artificial limb based on eye and lower jaw electromyographic signals

Abstract

A device for controlling an intelligent artificial limb based on eye and lower jaw electromyographic signals comprises an eye or lower jaw surface electromyographic signal acquisition module, an electromyographic signal processing module, an eye or lower jaw movement feature extraction module, a feature matching module, and an artificial limb control module. The eye or lower jaw surface electromyographic signal acquisition module is connected with the electromyographic signal processing module, the electromyographic signal processing module is connected with the eye or lower jaw movement feature extraction module, the eye or lower jaw movement feature extraction module is connected with the feature matching module, and the feature matching module is connected with the artificial limb control module. The movement range is big, signal acquisition is easy, and the precision is high. A low-complexity artificial limb is driven to complete an advanced task based on a detailed electromyographic signal analysis result. The relationship between signals and different modes is searched through a variety of methods to make the signals become a reliable signal source of artificial limbs. Accurate control on artificial limbs can be better realized, and the needs of people can be satisfied better.

Description

technical field [0001] The invention relates to a prosthesis that imitates human hand movement, in particular to a control device and method for an intelligent prosthesis based on eye and mandibular myoelectric signals. Background technique [0002] As one of the important organs of the human body, the human hand plays a pivotal role in people's daily life. It not only needs to be used to perform various labor behaviors, but also plays an important role in communicating with others or exploring unknown objects. Due to the very fine structure of the human hand, it is determined that it can complete a variety of complex functions. Long-term continuous learning and training make the realization of complex functions possible. These are the results of long-term mutual promotion, influence, and evolution between the human brain and the hand, so that the human brain does not need to invest additional psychological attention when controlling the human hand to complete the correspond...

AI Technical Summary

Problems solved by technology

[0004] At present, the intelligent bionic arm is basically controlled by the brain signal. However, the brain control signal is very disturbing, the acquisition signal is unstable, and the error is large.

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