Gait Stride Length Estimation Using Embedded Machine Learning.

Joeri R VerbiestBruno Bonnechère Wim Saeys Patricia Van de WalleSteven TruijenPieter Meyns

Published in: Sensors (Basel, Switzerland) (2023)

This study shows that estimating gait stride length directly on a microcontroller is feasible and demonstrates the potential of embedded machine learning, or tinyML, in designing wearable sensor devices for gait analysis.

Keyphrases

machine learning
cerebral palsy
artificial intelligence
big data
heart rate
risk assessment
climate change