Perception of Sleeping Poses Using Extremity Limb Orientations
Investigating extremity-limb orientation as a wearable sensing approach to distinguishing sleeping poses.
Sleep posture
Wearable sensing
Machine learning
Speaker
Event / host
Omar Elnaggar
BioMedEng21 · Sheffield, UK
Event date
6–7 September 2021
Abstract
The position of the limbs contains information that broad sleep-position labels can miss. This talk investigates how extremity orientations can support recognition of sleeping poses using wearable sensing. It introduces the motivation for examining posture in relation to musculoskeletal questions and considers how sensor measurements can be translated into clinically meaningful features for classification. The emphasis is on the feasibility of distinguishing more detailed body configurations, providing a methodological foundation for exploring posture in greater detail.
Work with Frans Coenen, Andrew Hopkinson and Paolo Paoletti.