Mentor/s
Christopher B. Taber and Justin C. Wager
Participation Type
Poster
Abstract
This study examined the validity of a video-based phone application (VBA) to determine bar speed and velocity. Analysis of the data revealed that for fast and slow repetitions of the bench press, back squat, and deadlift, the VBA is valid alongside motion capture software for the measurement of bar displacement and velocity. This provides a low cost option for coaches to monitor common barbell exercises during training.
College and Major available
Exercise Science BS
Location
Digital Commons & West Campus 2nd Floor University Commons
Start Day/Time
4-28-2023 12:00 PM
End Day/Time
4-28-2023 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Prize Categories
Best Multidisciplinary Research or Collaboration, Most Scholarly Impact or Potential, Best Technology Prototype (Prototype needs to be functional either physically or electronically. Examples include but not limited to phone Apps, websites, and contraptions)
Validity of a Computer Vision System to Determine Bar Displacement and Velocity
Digital Commons & West Campus 2nd Floor University Commons
This study examined the validity of a video-based phone application (VBA) to determine bar speed and velocity. Analysis of the data revealed that for fast and slow repetitions of the bench press, back squat, and deadlift, the VBA is valid alongside motion capture software for the measurement of bar displacement and velocity. This provides a low cost option for coaches to monitor common barbell exercises during training.
Students' Information
Padraig L. Francis. Exercise Science Major, Graduating May 2023