AI Control of EMG Sensor Data for 3D Printed Prosthesis Hand

The need of fabrication and control of prosthetic hand is a major concern which needs to be addressed. The unavailability of economical prosthetic hand with adequate functionality further deepens the issue. With the advancement in technology, techniques such as 3D printing and artificial intelligence/machine learning have emerged. These technologies can be utilized for the development of prosthetic hand. 3D printing fills the gap by providing a way to fabricate low-cost prostheses without any need for tools. On the other hand, the use of sensors and AI/ML techniques can provide better control features and functionality in the printed prosthetic hand. The present paper discusses the role of various AI/ML techniques, which can be used for the control of 3D printed prosthetics.