Exploration on Electroencephalogram Controlled Haptic Humanoid Arm for amputees

Autor: M. Sushmitha, S.B. Pooja, C. Jim Elliot, S. Surekha, M. Anisha, Ponmozhi Chezhiyan, T. Arun Prasath, N. Vigneshwari
Rok vydání: 2021
Předmět:
Zdroj: 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC).
DOI: 10.1109/icesc51422.2021.9532900
Popis: The World Health Organization (WHO) estimated over 40 million amputees throughout the world, out of 30% are upper limb amputees. In recent times, the prosthetic devices play a major role in technological development. A plenty of amputees are among us who are not able to compete with others only because some part of their body is not fully functional. There are prosthetic limbs available for amputees as a commercial solution in economically developing nations, to overcome the drawbacks in prosthetic limbs like finger movements and wrist movements. Electroen cephalography (EEG) signals offers tremendous influence on the progression of assistive haptic rehabilitation devices. These signals are highly utilized by the academic world to ingress the functions and behavior of human motion. Though EEG controlled supporting/assistive devices have gained the consideration of people, few studies and comprehensive reviews have been done on this. Hence the goal of this paper is to examine a variety of promising recent related works to offer research gap that should be looked into further.
Databáze: OpenAIRE