Wearable Sensing for Non-Invasive Human Pose Recognition During Sleep

Introducing the motivation and computational foundations for wearable recognition of human posture during sleep.
Wearable sensing
Sleep posture
Digital health
Speaker
Event / host

Omar Elnaggar

AI for Future Digital Health Workshop · AI 2020, SGAI 40th International Conference on Artificial Intelligence · Online

Event date

Tuesday, the 8th of December, 2020

Abstract
How might wearable sensing help us understand the positions people adopt during sleep? This workshop talk introduces the motivation for studying in-bed posture and the challenges of turning a small set of inertial measurements into useful information about body configuration. It discusses the role of computational modelling and machine learning in exploring recognition methods when labelled sleep data are limited. A digital-health perspective connects these technical foundations with the longer-term questions that more detailed posture measurements could help investigate.

Cover slide: Wearable Sensing for Non-Invasive Human Pose Recognition During Sleep.

Work with Frans Coenen and Paolo Paoletti.

Related research: Sleep wearables.

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