Tactile Data Collection
Tactile Data Collection is a methodological framework within tactile learning that systematically acquires and records physical interaction data through touch-based sensors or modalities to enable the analysis and modeling of haptic experiences.
57
Publications
2.7K
Citations
220
Authors
94
Institutions
Publications per year
2017–2026
27
Parents
57
Angela Chang, Sile O’Modhrain, Rob Jacob et al. · 2002 · 274 citations
Computing, Communication, Design +17
Active Clothing Material Perception Using Tactile Sensing and Deep Learning
Wenzhen Yuan, Yuchen Mo, Shaoxiong Wang et al. · 2018 · 139 citations
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Bristol Robotics Laboratory
Bristol, United Kingdom
3 h-index
9 publications
243 citations
Bielefeld University
Bielefeld, Germany
3 h-index
8 publications
124 citations
Human Media
Belmont, United States
2 h-index
6 publications
861 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
194 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
531 citations
Technical University of Munich
Munich, Germany
2 h-index
10 publications
1.3K citations

Tohoku University
Sendai, Japan
2 h-index
6 publications
228 citations
Tufts University
Medford, United States
2 h-index
2 publications
287 citations
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3 publications · 95 citations
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FGCS · 2 publications · 90 citations
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JVIB · 1 publications · 19 citations
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1 publications · 35 citations
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1 publications · 12 citations
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