Title

LifeMotion

Date of Award

6-14-2020

Document Type

Thesis - SCU Access Only

Publisher

Santa Clara : Santa Clara University, 2020.

Department

Computer Science and Engineering

First Advisor

Christopher Kitts

Second Advisor

David Anastasiu

Abstract

Movement is a critical part of all of our daily lives, and we believe that it can be coached using motion capture technology and machine learning. For the scope of this project we focused on weightlifting, because we know the field very well. We designed an automated coaching system that could classify and grade the users form on two types of weightlifting exercises. We also built a website that could allow our users to check their progress over time. Additionally, we used machine learning to help us classify the exercises. Unfortunately, due to the current pandemic, we lost access to the lab and materials we were working with. This forced us to adapt our project and focus on remote work. We still managed to finish all of the requirements for analyzing the two exercises we chose, and our website provides all of the feedback we wanted to give our users. Finally, our machine learning managed to correctly classify 97

Share

COinS