User Context Inference
User Context Inference is a computational process within context-aware augmented reality systems that identifies and interprets situational, behavioral, and environmental attributes of a user through sensor data and contextual cues to dynamically inform adaptive system responses.
116
Publications
13.7K
Citations
396
Authors
161
Institutions
Publications per year
2017–2026
30
116
Human Behavior Analysis by Means of Multimodal Context Mining
Oresti Baños, Jaehun Bang, Taeho Hur et al. · Sensors · 2016 · 452 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
511 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
336 citations

Chonnam National University
Gwangju, South Korea
3 h-index
6 publications
261 citations
University of Cyprus
Nicosia, Cyprus
2 h-index
4 publications
56 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
3 publications
50 citations
National University of Singapore
Singapore, Singapore
2 h-index
6 publications
444 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
8 publications
100 citations
Pohang University of Science and Technology
Pohang, South Korea
2 h-index
4 publications
177 citations
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8 publications · 645 citations
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TMCCI · 4 publications · 194 citations
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MONET · 2 publications · 137 citations
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TAC · 2 publications · 48 citations
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2 publications · 84 citations
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