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Bionic Prosthesis Control Utilizing Electromyography

CSEF · 2023 Electronics & Electromagnetics Third Award

Bidaye Aaryan, Nagarajah Akshayan, Swaminathan Suraj · 11

Overview

Globally, there are 30-40 million people in need of prosthetics devices. Furthermore, 75% of developing countries do not have a prosthetics training program in place. In light of this concern, we dedicated our project to developing cost-effective bionic prosthesis and a surface electromyography (sEMG) based control system that replicates the dexterous functionalities of a real arm. We used sEMG sensors to measure the voltage gradient across the skin of a user’s residual limb. This data is then input into a trained machine learning (ML) model that accurately classifies readings into specific grip patterns and individual finger movements, allowing for precise control of the bionic arm. While similar bionic prosthetics that allow for individual finger activation cost upwards of $50,000, our product offers a functional prosthetic device with a control system at a cost of less than $175. In the future, we plan to distribute this technology to those in need. We have already identified 2 individuals who are in need of prosthetics in Sri Lanka, and we plan to capture 3D scans of their arms to fit our device on their residual limbs. This revolutionary advancement in the field of prosthetics, with its highly affordable cost and outstanding functionality, has the potential to transform the lives of millions.

Source coverage

This record comes from a published award list, not a complete project archive. Its abstract comes from CSEF's public project showcase as archived by the Internet Archive before judging (https://web.archive.org/web/20230401224130/https://ca-csef.zfairs.com/showcase/ShowcaseInfo?f=838e60b7-ea75-46e8-865c-fde4864244b3); the version presented may differ.

Awards (1)

Competition history

  • CSEF 2023 Electronics & Electromagnetics · Entry S1020

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