Evaluating the precision of AI-automated stand2squatAI_biorig app against video recording and stopwatch timing

Until recently, physicians conducted several diagnostic gait & posture tests with simple time measurements, using a stopwatch. Nowadays, with the help of AI, such tests have been automated, i.e., performed without the presence of a physician. Application stand2squatAI_biorig is an example of a real time measurement method. In the current research we conducted 26 stand to squat tests, to estimate the precision of its measurements by comparing it against video recording and stopwatch timing. The value of the application under study proved significant, since it outperformed stopwatch timing. Furthermore, it performed on par with the video recording method which required significant post-processing for manually time-stamping the stances.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1145/3716554.3716622
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating the precision of AI-automated stand2squatAI_biorig app against video recording and stopwatch timing

Philip Azariadis, Christos Kampouris
Human Pose and Action Recognition
article

Evaluating the precision of AI-automated stand2squatAI_biorig app against video recording and stopwatch timing

Philip Azariadis, Christos Kampouris
article en

Abstract

Until recently, physicians conducted several diagnostic gait & posture tests with simple time measurements, using a stopwatch. Nowadays, with the help of AI, such tests have been automated, i.e., performed without the presence of a physician. Application stand2squatAI_biorig is an example of a real time measurement method. In the current research we conducted 26 stand to squat tests, to estimate the precision of its measurements by comparing it against video recording and stopwatch timing. The value of the application under study proved significant, since it outperformed stopwatch timing. Furthermore, it performed on par with the video recording method which required significant post-processing for manually time-stamping the stances.

University of West Attica (GR), University of the Aegean (GR)
University of West Attica
Openalex Percentile: Top 70%
Human Pose and Action Recognition
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