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
Recommended Citation
Kitts, Jak; Canniffe, Michael; and Wang, Wei, "LifeMotion" (2020). Computer Science and Engineering Senior Theses. 170.
https://scholarcommons.scu.edu/cseng_senior/170
SCU Access Only
To access this paper, please log into or create an account in Scholar Commons using your scu.edu email address.