Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units

Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units

Abstract Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialized laboratory setup with markers positione...

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Bibliographic Details
Main Authors: Min Khant, Darwin Gouwanda, Alpha A. Gopalai, Chee Choong Foong
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
IMU
CNN
CNN-LSTM
LSTM
Muscle activity
Online Access:https://doi.org/10.1038/s41598-024-83903-5
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