Fall Recognition
Fall Recognition is a computational method within human activity analysis that specifically identifies and classifies instances of human falls from sensor or video data through distinctive pattern-based detection mechanisms.
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2017–2026
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Dean M. Karantonis, Michael R. Narayanan, M. Mathie et al. · IEEE Transactions on Information Technology in Biomedicine · 2006 · 1.2K citations
Engineering, Health Informatics, Mechatronics Engineering +17
A survey on fall detection: Principles and approaches
Muhammad Mubashir, Ling Shao · Neurocomputing · 2012 · 860 citations
Sensor-based and vision-based human activity recognition: A comprehensive survey
L. Minh Dang, Kyungbok Min, Hanxiang Wang et al. · Pattern Recognition · 2020 · 695 citations
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University of Missouri
Columbia, United States
21 h-index
92 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
56 publications
2.5K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
14 h-index
52 publications
2.9K citations

Marche Polytechnic University
Ancona, Italy
14 h-index
79 publications
3.5K citations

Huazhong University of Science and Technology
Wuhan, China
13 h-index
34 publications
3.7K citations

UNSW Sydney
Sydney, Australia
12 h-index
58 publications
9.4K citations
KU Leuven
Leuven, Belgium
12 h-index
58 publications
3.5K citations

University of Limerick
Limerick, Ireland
11 h-index
45 publications
4K citations
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