Multimodal Performance Control

Multimodal Performance Control is a computational framework in live coding performance that integrates multiple input modalities—such as auditory, gestural, and visual signals—into a unified control structure, enabling performers to dynamically manipulate code-generated output through simultaneous and complementary expressive channels.

6

Publications

132

Citations

32

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

32

  1. KL
    Kevin Lee

    Eaton (United States), United States

    1 publications · 21 citations

    1

    h-index

  2. SM
    Stefano Masiero

    University of Padua, Italy

    1 publications · 16 citations

    1

    h-index

  3. DM
    Darcy M. Bullock

    Purdue University West Lafayette, United States

    1 publications · 21 citations

    1

    h-index

  4. RJ
    R.A. Jarvis

    Australian National University, Australia

    1 publications · 26 citations

    1

    h-index

  5. SP
    Sudhir P. Mudur

    Concordia University, Canada

    1 publications · 16 citations

    1

    h-index

1–5 of 32

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Scientific Reports

    1 publications · 16 citations

    1

    h-index

1–4