Muscle sound signal wireless acquisition bracelet for sign language recognition

Abstract

The invention relates to a muscle sound signal wireless acquisition bracelet for sign language recognition. The muscle sound signal wireless acquisition bracelet comprises a plastic shell and an elastic wrist strap, wherein the plastic is provided with a signal acquisition circuit board internally provided with muscular sound signal acquisition and wifi data transmission, and a rechargeable lithium battery for supplying electric energy to the signal acquisition circuit board; the elastic wrist strap is hinged with the plastic housing, and four acceleration sensors connected with the signal acquisition circuit board through the FPC soft-row wire harness are respectively arranged on the inner side of the elastic wrist strap; and the acceleration sensors are respectively arranged in close contact with the common extensor digitorum digitorum, the flexor carpi radialis, the flexor carpi ulnaris and the extensor carpi radialis longus. Compared with the prior art, the invention has the advantages of wireless acquisition of muscular sound signals, adjustable position of sensors, convenient wearing, portability, high transplantability, real-time recognition of gesture sign language, reducedvolume and the like.

Description

technical field [0001] The invention relates to the technical field of sign language recognition, in particular to a wristband for wirelessly collecting muscle sound signals for sign language recognition. Background technique [0002] As the most commonly used human body movements, gestures use the position and shape of fingers, palms, wrists, arms, etc. to express certain behavioral intentions or transmit commands. Compared with the shortcomings of the limited types of human head movements, the difficulty of capturing facial movements, and the laborious execution of body movements, gesture movements can achieve a large number of complex movement combinations to express richness by relying on the most flexible parts of the human limbs. The meaning of the word has been applied in many fields, including: ordinary people express greetings, thanks, and apologies through simple gestures when socializing; referees use gestures to clearly and accurately convey the judgment of the g...

AI Technical Summary

Problems solved by technology

Compared with the previous method, this method has certain advantages in the adaptability of the recognition environment in terms of the use environment, but the acquisition of EMG signals is easily affected by some states of the human body. Electromechanical signal distortion reduces the accuracy of recognition

[0005] On the muscle sound collection equipment, the existing technology mostly adopts the method of muscle sound sensor and acquisition card. Although this method has made great progress in the recognition rate, it is difficult to be directly applied to the actual situation due to the influence of the weight and volume of the equipment. Sign language recognition needs to be improved on the original basis

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