Control Systems of Bionic Limbs of the New Generation and Control Systems with EMG Signals of VR and Games and Toys

Abstract

The LLC Bionic Natali company is a startup and has been engaging in creation of bionic artificial limbs of hands for more than 2 years, and the LLC Bi-oN EMG was created one year ago on base of LLC Bionic Natali. From the first steps, projects had been directed on the solution of a problem of development of the domestic bionic functional artificial limb of the hand based on neural network and others algorithms. In projects, it had been created the functional system of management, system of tactile feedback which has increased controllability of a functional artificial limb is already realized and integrated, and also the functional bionic artificial limb of the hand. Based on this work it had been done the general representations and practical application of machine training, neural network and others algorithms. The technology of recognition of gestures of electromyographic activity based on neural network or an analog of network is the cornerstone. The bracelet is put on a hand (in case of disabled people, a stump), further noninvasive electrodes remove potential difference of neuromuscular activity; by means of an electric circuit there is data handling and their transmission to the processor where by means of a neural network there is a recognition of a gripper, further data are transferred for control of a bionic hand. This technology has also found so far mostly theoretical management, but undergoes testing practical, for control of the knee module of a bionic artificial limb of the lower limb. The technology of bracelet became the product of LLC Bi-oN EMG for virtual reality, games and rehabilitation. On the basis of this researches the important conclusion has been drawn: after carrying out operations within rehabilitation and the subsequent requirement of rehabilitation of disabled people before use of bionic artificial limbs of hands, use of an electromyographic bracelet of LLC Bi-oN EMG is offered as option.