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In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

Engineering and Technology

In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

G. Dion, A. Tessier-poirier, et al.

Discover a groundbreaking wearable accelerometer that not only senses human gait patterns in real-time but also incorporates machine learning through innovative in-sensor computing! This revolutionary device, developed by a team of researchers from the Université de Sherbrooke and Université Laval, excels in power efficiency and data security by transmitting only classification labels, ensuring privacy while enhancing edge computing capabilities.

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