Name
Abstract | ||
|---|---|---|
A system for capturing habitual, in-home gait measurements using an environmentally mounted depth camera, the Microsoft Kinect, is presented. Previous work evaluating the use of the Kinect sensor for in-home gait measurement in a lab setting has shown the potential of this approach. In this paper, a single Kinect sensor and computer were deployed in the apartments of older adults in an independent... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TBME.2013.2266341 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Legged locomotion,Biomedical monitoring,Monitoring,Risk management,Market research,Time measurement | Computer vision,Gait,Computer science,Fall risk,Gait analysis,Artificial intelligence,Probabilistic logic,Independent living | Journal |
Volume | Issue | ISSN |
60 | 10 | 0018-9294 |
Citations | PageRank | References |
42 | 2.57 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erik E. Stone | 1 | 381 | 31.42 |
| Marjorie Skubic | 2 | 1045 | 105.36 |