Liang, Liu and Popescu, Mihail and Skubic, Marjorie and Rantz, Marilyn and Yardibi, Tarik and Cuddihy, Paul (2012) Automatic Fall Detection Based on Doppler Radar Motion Signature. In: 5th International ICST Conference on Pervasive Computing Technologies for Healthcare.
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Abstract
Falling is a common health problem for elderly. It is reported that more than one third of adults 65 and older fall each year in the United States. To address the problem, we are currently developing a Doppler radar-based fall detection system. Doppler radar sensors provide an inexpensive way to rec
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 09:13 |
| Last Modified: | 18 Apr 2026 02:27 |
| URI: | http://eprints.eai.eu/id/eprint/4529 |
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