Posture and Activity Detection Using a Tri-axial Accelerometer
نویسندگان
چکیده
Quantifying activity levels among healthy older adults and patients can provide objective information on sedentary behavior and physical function [1]. In order to accurately quantify activity in the free-living environment, a robust method for classifying posture and activity needs to be established. Therefore, the purpose of this study was to validate the identification of static postures and dynamic activity from acceleration data against a gold standard of visual inspection from video recordings.
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