AI Mobile Application Versus HCP for Bodyweight Squats

Squat Form Clinical Trial

Official title:

Artificial Intelligence (AI) Mobile Application Versus Health Care Provider (HCP) for Bodyweight Squats: A Randomized, Blinded, Controlled Clinical Trial

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04624594
• Other study ID #: AAAS7301
• Status: Completed
• Phase: N/A
• Start date: October 15, 2019
• Est. completion date: December 30, 2019

Study information

• Verified date: August 2021
• Source: Columbia University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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).

Description:

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 30
• Est. completion date: December 30, 2019
• Est. primary completion date: December 30, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 20 Years to 35 Years

Eligibility

Inclusion Criteria:

• Columbia University affiliate

• Aged 20 to 35 years

• Able to perform moderate bodyweight exercise for 10 minutes

Exclusion Criteria:

• Unable to provide consent

Related Conditions & MeSH terms

• Body Weight
• Squat Form

Intervention

Other:
• Artificial Intelligence Feedback
AI mobile application provides feedback to participants randomized to artificial intelligence group.
• Physical Therapist Feedback
PT provides feedback to participants randomized to physical therapist group.

Locations

Country	Name	City	State
United States	Columbia University Medical Center	New York	New York

Sponsors (2)

Lead Sponsor	Collaborator
Columbia University	National Medical Fellowships

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.	Up to 15 minutes or completion of third set of squats
Secondary	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.	Up to 15 minutes or completion of third set of squats