Concepedia

Tactile Texture Recognition

Tactile Texture Recognition is a computational method that enables machines to identify and classify surface properties through direct physical interaction by analyzing mechanoreceptive signals generated during tactile exploration, distinguishing itself from other sensory recognition methods by relying exclusively on somatosensory feedback rather than visual or auditory inputs.

71

Publications

4K

Citations

295

Authors

134

Institutions

Publications per year

2017–2026

29

Parents

Publications

71

Artificial tactile perception smart finger for material identification based on triboelectric sensing

Xuecheng Qu, Zhuo Liu, Puchuan Tan et al. · Science Advances · 2022 · 330 citations · Full text

, , +16

Individual differences in perceptual space for tactile textures: Evidence from multidimensional scaling

Mark Hollins, Sliman J. Bensmaı̈a, Kristie Karlof et al. · Perception & Psychophysics · 2000 · 314 citations · Full text

, , +15

Tactile discrimination of textured surfaces: psychophysical performance measurements in humans.

Graham D. Lamb · The Journal of Physiology · 1983 · 181 citations · Full text

, , +16

A flexible triboelectric tactile sensor for simultaneous material and texture recognition

Ziwu Song, Jihong Yin, Zihan Wang et al. · Nano Energy · 2021 · 178 citations

, , +16

SENSe: Study of the Effectiveness of Neurorehabilitation on Sensation

Leeanne M. Carey, Richard Macdonell, Thomas A. Matyas · Neurorehabilitation and neural repair · 2011 · 178 citations

, , +17

1–5 of 71

Authors

295

  1. NV
    Nitish V. Thakor

    Johns Hopkins University, United States

    4 publications · 186 citations

    4

    h-index

  2. AM
    Alberto Mazzoni

    Scuola Superiore Sant'Anna, Italy

    3 publications · 173 citations

    3

    h-index

  3. CM
    Calogero Maria Oddo

    Scuola Superiore Sant'Anna, Italy

    3 publications · 173 citations

    3

    h-index

  4. TA
    Thomas A. Matyas

    La Trobe University, Australia

    2 publications · 243 citations

    2

    h-index

  5. MK
    Masashi Konyo

    Tohoku University, Japan

    2 publications · 52 citations

    2

    h-index

1–5 of 295

Institutions

134

  1. National University of Singapore

    Singapore, Singapore

    5 h-index

    9 publications

    533 citations

  2. Johns Hopkins University

    Baltimore, United States

    4 h-index

    9 publications

    301 citations

  3. Scuola Superiore Sant'Anna

    Pisa, Italy

    4 h-index

    17 publications

    830 citations

  4. Keio University

    Tokyo, Japan

    3 h-index

    14 publications

    328 citations

  5. Nanyang Technological University

    Singapore, Singapore

    3 h-index

    4 publications

    286 citations

  6. Bristol Robotics Laboratory

    Bristol, United Kingdom

    3 h-index

    4 publications

    172 citations

  7. Zhejiang University

    Hangzhou, China

    3 h-index

    7 publications

    318 citations

  8. Ritsumeikan University

    Kyoto, Japan

    2 h-index

    8 publications

    352 citations

1–8 of 134

Venues

  1. Nano Energy

    3 publications · 241 citations

    3

    h-index

  2. Human Brain Mapping

    2 publications · 155 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 77 citations

    2

    h-index

  4. IEEE Sensors Journal

    2 publications · 78 citations

    2

    h-index

  5. Sensors and Actuators A Physical

    2 publications · 57 citations

    2

    h-index

1–5