Date of Award

6-13-2024

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2024

Departments

Computer Science and Engineering; Electrical and Computer Engineering

First Advisor

Sean Choi

Second Advisor

Andy Wolfe

Abstract

This paper presents an innovative approach to enhance at-home physical therapy exercises through the development of a wearable motion tracking system. The proposed system utilizes motion tracking bands worn by patients during exercises, specifically focusing on a squat jump for the initial phase of the project. The bands, placed around the ankle and knee, monitor the alignment of the user's motion and transmit data via Bluetooth Low Energy (BLE) to a dedicated webpage. This webpage integrates real-time data analysis, offering immediate feedback to users, enabling them to monitor their form and track progress over time. The collected data is stored in a database, facilitating comprehensive recovery progress monitoring. Traditional physical therapy relies heavily on in-clinic sessions, leaving patients to perform exercises independently at home. The developed Internet of Things (IoT) system aims to address this gap by providing patients with continuous insights into their exercises, ensuring correct execution and optimizing the recovery process. The system's live feedback and accessible interface empower users to self-monitor, reducing the risk of incorrect exercise execution and contributing to more effective rehabilitation. The integration of technology into physical therapy not only enhances patient engagement but also revolutionizes the industry's feedback mechanisms, offering instantaneous and detailed insights for more efficient and personalized rehabilitation.

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