Intelligent Prosthetics Motion Learning and Neuro- Muscular Feedback Integration

The chapter is an investigation of current systems of creating smart prosthesis technol-
ogies whose concept integrates motion learning and the provision of neuro- muscular
feedback to make them more mobile and adaptive to their users. These systems are
made responsive through interpretations of the user intent and surroundings, and
they can be active with the help of AI-powered algorithms and sensor systems. Other
DOI: 10.4018/979-8-3373-8241-8.ch004
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methods that are covered in the chapter include adaptive learning, myoelectric signal
processing and embedded control techniques to aid natural movements and motor
recovery. The focus is on real time response, personalizing to the user and better
biomechanical integration. The paper presents the progress in terms of responsive-
ness and experience using the prosthetic as well as the projection regarding the
development of individual assistive technologies and neuro-robotic rehabilitation