Name
Abstract | ||
|---|---|---|
We propose in this paper the use of Wavelet transform (WT) to detect human falls using a ceiling mounted Doppler range control radar. The radar senses any motions from falls as well as nonfalls due to the Doppler effect. The WT is very effective in distinguishing the falls from other activities, making it a promising technique for radar fall detection in nonobtrusive inhome elder care applications. The proposed radar fall detector consists of two stages. The prescreen stage uses the coefficients of wavelet decomposition at a given scale to identify the time locations in which fall activities may have occurred. The classification stage extracts the time-frequency content from the wavelet coefficients at many scales to form a feature vector for fall versus nonfall classification. The selection of different wavelet functions is examined to achieve better performance. Experimental results using the data from the laboratory and real inhome environments validate the promising and robust performance of the proposed detector. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TBME.2014.2367038 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
medical signal detection,feature vector,nonobtrusive inhome elder care,wavelet transforms,doppler radar,geriatrics,time-frequency content,doppler effect,doppler radar fall activity detection,radar signal processing,radar detection,wavelet,nonfall classification,patient care,classifier,doppler range control radar,signal classification,wavelet decomposition,wavelet transform,fall detection,human fall detection,ceiling mounted radar,time frequency analysis,feature extraction | Pulse-Doppler radar,Continuous-wave radar,Radar,Doppler radar,Computer vision,Feature vector,Computer science,Artificial intelligence,Doppler effect,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
62 | 3 | 0018-9294 |
Citations | PageRank | References |
25 | 1.09 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Yu Su | 1 | 33 | 3.23 |
| K.C. Ho | 2 | 1311 | 148.28 |
| Marilyn Rantz | 3 | 310 | 26.24 |
| Marjorie Skubic | 4 | 1045 | 105.36 |