Electronic artificial hand with voice/myoelectricity mixed control

Abstract

The invention relates to an electronic artificial hand with voice / myoelectricity mixed control, comprising a voice control system, a myoelectricity control system, a voice control and myoelectricity control switching system and a voice switching control joint system, wherein the voice control and myoelectricity control switching system consists of voice recognition chips; when the voice recognition chips receive a voice command 'myoelectricity', a control signal is outputted to drive the myoelectricity control system to work; when the voice recognition chips receive a voice command 'voice', the voice recognition chips are communicated with the voice control system to control the artificial hand; and when the voice recognition chips receive a voice command 'collaboration', the voice control command received by the voice recognition chips is processed to output a control signal to the myoelectricity control system so as to switch joints of the artificial hand, and the voice control system and the myoelectricity control system work simultaneously. The electronic artificial hand comprises the voice control system and the myoelectricity control system and can switch corresponding control according to actual use conditions.

Description

technical field [0001] The invention relates to an electronic prosthetic hand using voice control technology and myoelectric control technology, in particular to a prosthetic hand that controls a multi-free prosthetic hand through a voice recognition module and a wireless or wired transmission module or by extracting myoelectric signals of residual limbs device. Background technique [0002] Sound hands are very important to human beings. They can complete various complex movements that must be used in life, such as grasping, twisting, hooking, lifting, and clamping. But in reality, due to many factors such as traffic accidents, natural disasters, industrial injuries, wars and congenital diseases, there are many patients with disabled limbs. According to statistics, there are tens of millions of patients with residual limbs all over the world. In order to allow disabled people to take care of themselves and improve their quality of life as much as possible, various pro...

AI Technical Summary

Problems solved by technology

The biggest advantage of myoelectric prosthesis is to use the residual muscle system to control the movement function of the prosthesis in a physiological way, but myoelectric control is essentially an open-loop control system, and patients can only use vision and hearing as feedback signals, which requires patients to concentrate To control the prosthesis, it is not conducive to grasp the status of the prosthesis, and some patients have too short residual limbs, weak myoelectric signals and other factors, resulting in too weak myoelectric signals to control the prosthetic hand through myoelectric signals

Now there are voice-controlled prosthetic hands in the market. The emergence of this has brought good news to patients who cannot extract myoelectricity. However, voice-controlled prosthetic hands have relatively high requirements for the voice of patients.

The audio frequency and timbre of the sound of the patient's training need to be relatively close. For example, when the patient is using it due to a cold or a hoarse throat, the sound of the training can not be produced, resulting in failure of control

Speech prosthetic hands are inconvenient to use in environments that require quiet, such as in meetings

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