Soft Prosthetic Controlled Using EEG

B. Nishant Sree Reddy, Farzeen Hasharaf, Subraya Krishna Bhat, Jeane Marina D’Souza*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The impact of losing a limb can be devastating to one's life. Prosthetic technologies have been upgraded from wood to different materials, non-movement to having movement more than a human arm, and from traditional prosthetic limbs made of simple wooden structure are often bulky to a highly developed structure that is starting to behave and work as a normal human part. Nowadays, with the development of materials and designs, prosthetics are made more functional, life-like, and comfortable for humans. There are many ways to help an amputee to control a prosthetic. Recently, there has been a growing interest in developing soft robot prosthetics that are more natural and intuitive to control, and using brain signals is one of the ways in which the amputee feels his prosthetic as his own and has little to no difference from the real one. The amputee can also control it instantaneously like a real limb. This study introduces a new type of prosthetic hand made of soft material (liquid silicon rubber). The design biomimics a human hand so that the prosthetic can closely resemble human flexibility and compliance. The prosthetic hand is controlled using EEG signals which are collected through a non-invasive EEG headset from the amputee’s brain. The EEG signals are decoded by a processor to find the amputee’s intentions and control the prosthetic as the amputee intended. This prosthetic improves the quality of the amputee’s life.

Original languageEnglish
Title of host publicationIntelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2023
EditorsShilpa Suresh, Shyam Lal, Mustafa Servet Kiran
PublisherSpringer Science and Business Media Deutschland GmbH
Pages535-544
Number of pages10
ISBN (Print)9789819746491
DOIs
Publication statusPublished - 2024
EventInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2023 - Manipal, India
Duration: 12-10-202314-10-2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1220 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2023
Country/TerritoryIndia
CityManipal
Period12-10-2314-10-23

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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