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

Authors

522

  1. FS
    Fuchun Sun

    Tsinghua University, China

    11 publications · 400 citations

    11

    h-index

  2. HL
    Huaping Liu

    Tsinghua University, China

    6 publications · 283 citations

    6

    h-index

  3. BF
    Bin Fang

    Tsinghua University, China

    4 publications · 101 citations

    4

    h-index

  4. MV
    Maurizio Valle

    University of Genoa, Italy

    3 publications · 118 citations

    4

    h-index

  5. ZY
    Zhengkun Yi

    Shenzhen Institutes of Advanced Technology, China

    4 publications · 143 citations

    4

    h-index

1–5 of 522

Venues

  1. Sensors and Actuators A Physical

    7 publications · 238 citations

    8

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  2. Sensors

    5 publications · 172 citations

    6

    h-index

  3. Perception & Psychophysics

    5 publications · 166 citations

    5

    h-index

  4. IEEE Sensors Journal

    4 publications · 186 citations

    5

    h-index

  5. IEEE Transactions on Haptics

    4 publications · 259 citations

    4

    h-index

1–5