Tactile Feature Extraction
Tactile Feature Extraction is a computational process that identifies and isolates salient, low-level signal characteristics from raw tactile sensor data to represent meaningful physical interactions, distinguishing itself from general signal processing by focusing specifically on features relevant to touch-based perception and manipulation tasks.
162
Publications
6.8K
Citations
522
Authors
193
Institutions
Publications per year
2017–2026
78
162
Learning the signatures of the human grasp using a scalable tactile glove
Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li et al. · Nature · 2019 · 1.1K citations
Tactile-Object Recognition From Appearance Information
Zachary Pezzementi, Erion Plaku, Caitlin Reyda et al. · IEEE Transactions on Robotics · 2011 · 144 citations
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193
Tsinghua University
Beijing, China
13 h-index
40 publications
1.4K citations
Technical University of Munich
Munich, Germany
7 h-index
21 publications
1.1K citations

University of Genoa
Genoa, Italy
5 h-index
17 publications
603 citations
Nanyang Technological University
Singapore, Singapore
5 h-index
21 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
971 citations

Harbin Institute of Technology
Harbin, China
4 h-index
16 publications
302 citations

China University of Geosciences (Beijing)
Beijing, China
3 h-index
6 publications
174 citations
Indiana University Bloomington
Bloomington, United States
3 h-index
3 publications
124 citations
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7 publications · 238 citations
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5 publications · 172 citations
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4 publications · 186 citations
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4 publications · 259 citations
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