Posture Analysis Through Machine Learning
PathML
1 other identifier
observational
20
1 country
1
Brief Summary
This study will include video-recorded data from 20 adults (age 18-85yrs) residing in San Luis Obispo, CA. Participants will also have their height and weight measured, complete demographic questionnaires, and one 3hour session with video recordings in a combination of naturalistic condition and semi-structured environments. The video data will be used to train machine learning models to automatically classify physical behavior as compared to ground-truth measures of manual annotation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Nov 2021
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 27, 2021
CompletedFirst Posted
Study publicly available on registry
September 5, 2021
CompletedStudy Start
First participant enrolled
November 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2022
CompletedMay 10, 2022
May 1, 2022
8 months
August 27, 2021
May 4, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Postural Status
Sitting versus standing versus moving
Upon enrollment (one timepoint)
Activity type
Indoor vs outdoor vs driving
Upon enrollment (one timepoint)
Sit to stand transition time
Time it takes to go from sitting to standing
Upon enrollment (one timepoint)
Secondary Outcomes (2)
Activity intensity
Upon enrollment (one timepoint)
Activity type
Upon enrollment (one timepoint)
Study Arms (1)
Recordings
Selection criteria include individuals between the ages of 18-85 years, no major chronic illness that impair mobility and able to complete activities of daily living without assistance. We will recruit approximately equal number of men and women and 30% of the sample will be racial or ethnic minorities.
Eligibility Criteria
Generally health adult population recruited from local community
You may qualify if:
- Age 18-85 years
- No major chronic illness that impair mobility
- Able to complete activities of daily living without assistance.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
CalPoly
San Luis Obispo, California, 93407, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sarah Keadle
Cal Poly
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- INDUSTRY
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- President
Study Record Dates
First Submitted
August 27, 2021
First Posted
September 5, 2021
Study Start
November 1, 2021
Primary Completion
June 30, 2022
Study Completion
June 30, 2022
Last Updated
May 10, 2022
Record last verified: 2022-05
Data Sharing
- IPD Sharing
- Will not share