Abstract
Objective: It has been proposed that body-worn sensors may provide a practical ambulatory system to capture movement difficulties in free-living environments. However, obstacles such as efficient automatic detection, segmentation and assessment of movement performance still impede the use of such systems in a clinically meaningful way. The aim of this study was to use inertial motion sensors (IMUs) to auto- matically detect, segment and assess movement performance during an unstructured task in free-living condition.
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