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AuthorAmin M.G.
AuthorZhang Y.D.
AuthorBoashash B.
Available date2022-05-31T19:01:35Z
Publication Date2015
Publication NameProceedings of SPIE - The International Society for Optical Engineering
ResourceScopus
Identifierhttp://dx.doi.org/10.1117/12.2180139
URIhttp://hdl.handle.net/10576/31913
AbstractIn this paper, we examine the role of high-resolution time-frequency distributions (TFDs) of radar micro-Doppler signatures for fall detection. The work supports the recent and rising interest in using emerging radar technology for elderly care and assisted living. Spectrograms have been the de facto joint-variable signal representation, depicting the signal power in both time and frequency. Although there have been major advances in designing quadratic TFDs which are superior to spectrograms in terms of detailing the local signal behavior, the contributions of these distributions in the area of human motion classifications and their offerings in enhanced feature extractions have not yet been properly evaluated. The main purpose of this paper is to show the effect of using high-resolution TFD kernels, in lieu of spectrogram, on fall detection. We focus on the extended modified B-distribution (EMBD) and exploit the level of details it provides as compared with the coarse and smoothed time-frequency signatures offered by spectrograms.
Languageen
PublisherSPIE
SubjectClassification (of information)
Radar
Radar equipment
Robustness (control systems)
Spectrographs
Assisted living
Fall detection
High resolution
Level of detail
Radar technology
Signal representations
Time and frequencies
Time-frequency distributions
Signal detection
TitleHigh-resolution time-frequency distributions for fall detection
TypeConference Paper
Volume Number9461
dc.accessType Abstract Only


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