Faculty Advisor

Beck, Joseph E.

Faculty Advisor

Popovic, Marko B.

Abstract

This project seeks to evaluate alternative means of controlling a prosthetic (in this case, a hand) using electroencephalographic control. The project consists of four methods; an unsure-feedback neural network, a neural network which lets the user know where it assumes the user wants to go, if unsure; a neutrally-iterated tree, which stores a preset list of locations that the user moves between based on how intently they focus on a task; a continuously-trained neural network, which tries to assume the user’s hand position and trains relative to that; and a direct neural network, as described above. The selected methods will be compared to determine training efficiency, accuracy, and response time relative to each other on a universal platform.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2018

Major

Robotics Engineering

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Physics

Advisor Program

Computer Science

Advisor Program

Physics

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