Fall Classification is a methodological construct within the field of activity recognition that specifically distinguishes falls from non-fall events through the analysis of spatiotemporal patterns and contextual cues derived from sensor data.
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Fall Classification by Machine Learning Using Mobile Phones
Mark V. Albert, Konrad P. Körding, Megan Herrmann et al. · PLoS ONE · 2012 · 207 citations · Full text
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UNSW Sydney
Sydney, Australia
3 h-index
9 publications
258 citations
University of Catania
Catania, Italy
3 h-index
14 publications
680 citations
Northwestern University
Evanston, United States
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6 publications
928 citations
Texas Tech University
Lubbock, United States
3 h-index
15 publications
720 citations
Jesse Brown VA Medical Center
Chicago, United States
2 h-index
2 publications
100 citations
Université de Technologie de Troyes
Troyes, France
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2 publications
158 citations
National Technical University of Athens
Athens, Greece
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6 publications
201 citations
Texas Tech University Health Sciences Center
Lubbock, United States
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315 citations
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2 publications · 379 citations
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