Estimating hip impact velocity and acceleration from video-captured falls using a pose estimation algorithm

Estimating hip impact velocity and acceleration from video-captured falls using a pose estimation algorithm

Abstract Analyzing video footage of falls in older adults has emerged as an alternative to traditional lab studies. However, this approach is limited by the labor-intensive process of manually labeling body parts. To address this limitation, we aimed to validate the use of the AI-based pose estimati...

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Bibliographic Details
Main Authors: Reese Michaels, Tiago V. Barreira, Stephen N. Robinovitch, Jacob J. Sosnoff, Yaejin Moon
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Pose estimation
Artificial Intelligence
Fall
Biomechanics
Older adults
Online Access:https://doi.org/10.1038/s41598-025-85934-y

Internet

https://doi.org/10.1038/s41598-025-85934-y

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