Multimodal Input Modeling

Multimodal Input Modeling is a computational framework that integrates and represents data from multiple sensory modalities to capture the joint patterns and temporal dynamics of user input in multimodal interaction systems.

25

Publications

1.2K

Citations

94

Authors

45

Institutions

Publications per year

2017–2026

10

Authors

94

  1. LT
    Louis ten Bosch

    Radboud University Nijmegen, Netherlands

    3 publications · 49 citations

    3

    h-index

  2. JP
    Jia Pan

    University of Hong Kong, Hong Kong SAR China

    2 publications · 310 citations

    2

    h-index

  3. HZ
    Hong-Yu Zhou

    Beijing Normal University, China

    2 publications · 310 citations

    2

    h-index

  4. HV
    Hugo Van hamme

    KU Leuven, Belgium

    2 publications · 25 citations

    2

    h-index

  5. YY
    Yizhou Yu

    University of Hong Kong, Hong Kong SAR China

    2 publications · 310 citations

    2

    h-index

1–5 of 94

Venues

  1. 1

    h-index

  2. IEEE Multimedia

    1 publications · 59 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 38 citations

    1

    h-index

  5. Nature Biomedical Engineering

    1 publications · 299 citations

    1

    h-index

1–5