Human Activity Recognition is a computational framework that distinguishes specific human movements and behaviors by analyzing sensor-derived data to infer activity types within a predefined ontology.
5.1K
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314.7K
Citations
12.5K
Authors
2.7K
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Publications per year
2017–2026
2.9K
Publications
5.1K
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng et al. · 2016 · 2.9K citations
ActivityNet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Víctor Escorcia, Bernard Ghanem et al. · 2015 · 2.6K citations
1–5 of 5.1K
Authors
12.5K
- DJ
31
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- DR
29
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- PLPaul Lukowicz
German Research Centre for Artificial Intelligence, Germany
38 publications · 3.1K citations
27
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- CN
26
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- GT
25
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Institutions
2.7K
Nanyang Technological University
Singapore, Singapore
38 h-index
133 publications
24.4K citations
Washington State University
Pullman, United States
35 h-index
132 publications
13.8K citations
Kyung Hee University
Seoul, South Korea
34 h-index
220 publications
13.1K citations
Chinese Academy of Sciences
Beijing, China
34 h-index
200 publications
18K citations
Carnegie Mellon University
Pittsburgh, United States
31 h-index
169 publications
16.2K citations
ETH Zurich
Zurich, Switzerland
31 h-index
149 publications
15.2K citations
Georgia Institute of Technology
Atlanta, United States
30 h-index
161 publications
11.5K citations
University of Ulster
Coleraine, United Kingdom
29 h-index
195 publications
11.5K citations
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Venues
- Sensors
306 publications · 21K citations
68
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- IEEE Access
144 publications · 8.7K citations
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- IEEE Sensors Journal
109 publications · 6K citations
44
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- IEEE Internet of Things Journal
75 publications · 5.2K citations
43
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- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
IMWUT · 66 publications · 3.7K citations
36
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