This project investigates machine learning algorithms in the field of prosthetics. The machine learning model was created to predict finger movements when provided with an ultrasound image of the forearm. Convolutional neural networks, recurrent neural networks, support vector machines and k- nearest neighbor algorithms were developed and tested against one another. Upon completion of research, a convolutional neural network was deemed to be the most effective in this application. The code for the final convolutional network was submitted as an appendix (B) in this paper.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Lynch-Collier, Cormac Guthrie

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-121319-162719

Advisor

• Zhang, Haichong

Year

• 2019

Date created

• 2019-12-13

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright