Abstract
The ability to rise from a chair is an important parameter to assess the balance deficits of a person. In particular, this can be an indication of risk for falling in elderly persons. Our goal is automated assessment of fall risk using video data. Towards this goal, we present a simple yet effective method of detecting transition, i.e. sit-to-stand and stand-to-sit, from image frames using fuzzy clustering methods on image moments. The technique described in this paper is shown to be robust even in the presence of noise and has been tested on several data sequences using different subjects yielding promising results.
Original language | American English |
---|---|
DOIs | |
State | Published - Jul 1 2010 |
Event | 2010 IEEE International Conference on Fuzzy Systems - Duration: Jul 1 2010 → … |
Conference
Conference | 2010 IEEE International Conference on Fuzzy Systems |
---|---|
Period | 7/1/10 → … |
Disciplines
- Bioinformatics
- Communication
- Communication Technology and New Media
- Computer Sciences
- Databases and Information Systems
- Life Sciences
- OS and Networks
- Physical Sciences and Mathematics
- Science and Technology Studies
- Social and Behavioral Sciences