Abstract
Abstract Date Presented 03/27/20 Current assessments of activity poststroke occur in clinical settings. Researchers have attempted to use wearable activity monitors to assess activity in natural environments, but they are unable to distinguish between activities. We have developed an algorithm within a depth sensor that is able to distinguish between activities that occur within a kitchen setting. The purpose of this study was to test the system with individuals poststroke in an unstructured home environment. Primary Author and Speaker: Rachel Proffitt Contributing Authors: Mengxuan Ma, Marjorie Skubic
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