Name
Title | ||
|---|---|---|
Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data. |
Abstract | ||
|---|---|---|
We describe case studies of clinically significant changes in sedentary behavior of older adults captured with a novel computer vision algorithm for depth data. An unobtrusive Microsoft Kinect sensor continuously recorded older adults' activity in the primary living spaces of TigerPlace apartments. Using the depth data from a period of ten months, we develop a context aware algorithm to detect person-specific postural changes (sit-to-stand and stand-to-sit events) that define sedentary behavior. The robustness of our algorithm was validated over 33,120 minutes of data for 5 residents against manual analysis of raw depth data as the ground truth, with a strong correlation (r = 0.937, p < 0.001) and mean error of 17 minutes/day. Our findings are highlighted in two case studies of sedentary activity and its relationship to clinical assessments of functional decline. Our findings show strong potential for future research towards a generalizable platform to automatically study sedentary behavior patterns with an in-home activity monitoring system. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/AIS-170428 | JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS |
Keywords | Field | DocType |
Activity recognition,depth images,Gerontechnology,Kinect sensor,sit-to-stand analysis | Sedentary behavior,Simulation,Computer science | Journal |
Volume | Issue | ISSN |
9 | 2 | 1876-1364 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tanvi Banerjee | 1 | 83 | 16.41 |
| Maria Yefimova | 2 | 0 | 0.34 |
| James M. Keller | 3 | 3201 | 436.69 |
| Marjorie Skubic | 4 | 1045 | 105.36 |
| Diana Lynn Woods | 5 | 0 | 0.34 |
| Marilyn Rantz | 6 | 310 | 26.24 |