To assess if an artificial intelligence (AI) mobile application can identify and improve bodyweight squat form in adult participants when compared to a Physical Therapist (PT).
Artificial intelligence (AI) is changing the way people can address their health needs. One such way related to physical exercise is AI-enabled exercise mobile application (digital coach), which uses motion tracking technology to monitor and provide real-time audio feedback on a person's exercise form. However, this AI technology has yet to be independently tested against an in-person evaluator (human coach) for its ability to improve exercise form. This study is a blinded randomized controlled trial comparing the ability of the digital coach (n=15) and a Physical Therapist (PT) human coach (n=15) to improve bodyweight squat form in 30 able-bodied volunteers age 20 - 35. Each volunteer performs 10 unassisted control squats, then 10 squats with assistive vocal feedback from either coach after each repetition, and finally 10 more unassisted test squats, all squats video-recorded. Three independent video evaluators count the number of correct squat repetitions completed by volunteers before and after intervention by the different coaches. This project is important to validate the digital coach compared to a PT human coach in a small population using a bodyweight squat for its wide applicability to daily movement patterns.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
30
AI mobile application provides feedback to participants randomized to artificial intelligence group.
PT provides feedback to participants randomized to physical therapist group.
Columbia University Medical Center
New York, New York, United States
Number of correct squats
Post-intervention improvement in squats will be determined by the number of correct squats in the third set as compared to the first set of squats.
Time frame: Up to 15 minutes or completion of third set of squats
Number of squats that are identified correctly by AI
AI identification of correct and incorrect squats will be determined by the number of squats that are identified correctly by AI as compared with independent evaluators.
Time frame: Up to 15 minutes or completion of third set of squats
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