Touch Gesture Recognition

Touch Gesture Recognition is a computational method that identifies and interprets intentional human touch-based interactions on digital surfaces by analyzing spatiotemporal patterns of contact, pressure, and movement, distinguishing itself from related input recognition techniques through its focus on deliberate gestural input rather than static touch or non-gestural manipulation.

66

Publications

2.7K

Citations

235

Authors

94

Institutions

Publications per year

2017–2026

24

Authors

235

  1. MM
    Merel M. Jung

    University of Twente, Netherlands

    5 publications · 212 citations

    5

    h-index

  2. YL
    Yunkai Li

    Beijing Institute of Technology, China

    3 publications · 50 citations

    3

    h-index

  3. QM
    Qing‐Hao Meng

    Tianjin University, China

    3 publications · 50 citations

    3

    h-index

  4. MP
    Mannes Poel

    University of Twente, Netherlands

    3 publications · 129 citations

    3

    h-index

  5. YW
    Yaxin Wang

    Tianjin University, China

    3 publications · 50 citations

    3

    h-index

1–5 of 235

Venues

  1. 3

    h-index

  2. Expert Systems with Applications

    2 publications · 43 citations

    2

    h-index

  3. 2

    h-index

  4. Robotics and Autonomous Systems

    1 publications · 45 citations

    1

    h-index

  5. Journal of Theoretical and Applied Information Technology

    JATIT · 1 publications · 15 citations

    1

    h-index

1–5