AI Mobile Application Versus HCP for Bodyweight Squats
August 9, 2021 updated by: Columbia University
Artificial Intelligence (AI) Mobile Application Versus Health Care Provider (HCP) for Bodyweight Squats: A Randomized, Blinded, Controlled Clinical Trial
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).
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed 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.
Study Type
Interventional
Enrollment (Actual)
30
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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New York
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New York, New York, United States, 10032
- Columbia University Medical Center
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
20 years to 35 years (Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Artificial Intelligence (AI) Group
To determine baseline ability and serve as their own control, participants in both groups performed 10 bodyweight squat "control" repetitions without feedback followed by one minute of rest.
Those in the AI group then performed 10 more "practice" repetitions with real-time audiovisual feedback from the app followed by one minute of rest.
The AI's design provided one piece of feedback, if necessary, with a vocal statement and on-screen video per repetition (e.g. when a participant performed a squat repetition with their neck flexed downward, AI suggested keeping their head up with on-screen instruction).
Participants in both groups then performed 10 "test" repetitions without feedback followed by one minute of rest.
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AI mobile application provides feedback to participants randomized to artificial intelligence group.
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Active Comparator: Physical Therapist Group
To determine baseline ability and serve as their own control, participants in both groups performed 10 bodyweight squat "control" repetitions without feedback followed by one minute of rest.
Those in the PT group (n=15) also performed 10 "practice" repetitions with one piece of feedback per repetition, if necessary, from the PT followed by one minute of rest.
Participants in both groups then performed 10 "test" repetitions without feedback followed by one minute of rest.
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PT provides feedback to participants randomized to physical therapist group.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of correct squats
Time Frame: Up to 15 minutes or completion of third set of 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.
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Up to 15 minutes or completion of third set of squats
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of squats that are identified correctly by AI
Time Frame: Up to 15 minutes or completion of third set of squats
|
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
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Sunil K. Agrawal, PhD, Columbia University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 15, 2019
Primary Completion (Actual)
December 30, 2019
Study Completion (Actual)
December 30, 2019
Study Registration Dates
First Submitted
November 5, 2020
First Submitted That Met QC Criteria
November 5, 2020
First Posted (Actual)
November 12, 2020
Study Record Updates
Last Update Posted (Actual)
August 16, 2021
Last Update Submitted That Met QC Criteria
August 9, 2021
Last Verified
August 1, 2021
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- AAAS7301
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
IPD Plan Description
Individual participant data is not shared with other researchers
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.