Student: Max Fisco
Project Mentors: Dr. Thurmon E. Lockhart – SBHSE
Dr. Claire Honeycutt – SBHSE
Dr. Stephen Helms Tillery - SBHSE
YouTube Link: View the video link below before joining the zoom meeting
Zoom Link: https://asu.zoom.us/j/6043756287
Zoom meeting time: 9am - 11am
Abstract
Functional training has become a fundamental part of an athlete’s training regimen as well as an injured athlete’s rehabilitation. Exercise enhances an athlete’s ability during competition and an injured athlete’s speed at which they return to a sportsready status. To optimize performance and mitigate the likelihood of re-injury, it is imperative that athletes are monitored and provided objective feedback when exercising. Unfortunately, the current practices are subjective in nature and inhibit practitioners from obtaining an objective understanding about an athlete’s performance. To combat this, a software system was developed using data streamed by inertial sensors to allow for quantitative tracking of movement and performance. Focusing on the body weight squat, the system integrates the data from multiple inertial sensors, analyzes the kinematics of movement, and provides objective overview of the measures associated with an athlete’s performance.