Sit-to-stand Measurement For In Home Monitoring Using Voxel Analysis

TitleSit-to-stand Measurement For In Home Monitoring Using Voxel Analysis
Publication TypeJournal Article
Year of Publication2014
AuthorsTanvi Banerjee, Marjorie Skubic, James Keller, Carmen Abbott
JournalIEEE Transactions in IT and Biomedicine
Volume18
Issue4
Pagination1502-1509
Date Published07/2014
KeywordsActivity recognition, eldercare technology, ellipse fit, sit-to-stand (STS), voxel
Abstract

We present algorithms to segment the activities of sitting and standing, and identify the regions of sit-to-stand (STS) transitions in a given image sequence. As a means of fall risk assessment, we propose methods to measure STS time using the 3-D modeling of a human body in voxel space as well as ellipse fitting algorithms and image features to capture orientation of the body. The proposed algorithms were tested on ten older adults with ages ranging from 83 to 97. Two techniques in combination yielded the best results, namely the voxel height in conjunction with the ellipse fit. Accurate STS time was computed on various STSs and verified using a marker-based motion capture system. This application can be used as part of a continuous video monitoring system in the homes of older adults and can provide valuable information to help detect fall risk and enable early interventions.

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