Sensor-based Puppetry

Sensor-Based Puppetry is a type of digital puppetry that employs physical sensors to capture real-time motion and performance data from a puppeteer, distinguishing itself by translating gestural, positional, or physiological inputs into corresponding digital character animations through direct, hardware-mediated input mechanisms.

3

Publications

397

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

9

  1. JL
    Jehee Lee

    Seoul National University, South Korea

    1 publications · 272 citations

    1

    h-index

  2. SH
    Song Huat Yeo

    Nanyang Technological University, Singapore

    1 publications · 12 citations

    1

    h-index

  3. HB
    Henry Been‐Lirn Duh

    National University of Singapore, Singapore

    1 publications · 12 citations

    1

    h-index

  4. KD
    Kim Doang Nguyen

    Nanyang Technological University, Singapore

    1 publications · 12 citations

    1

    h-index

  5. MG
    Michael Gleicher

    University of Wisconsin–Madison, United States

    1 publications · 272 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    4 publications

    48 citations

  2. University of Wisconsin–Madison

    Madison, United States

    1 h-index

    1 publications

    272 citations

  3. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    1 h-index

    3 publications

    816 citations

1–3 of 3

Venues

  1. IEEE Computer Graphics and Applications

    1 publications · 113 citations

    1

    h-index

  2. ACM Transactions on Graphics

    TOG · 1 publications · 272 citations

    1

    h-index

1–2