Electromyography-based Human-computer Interaction

Electromyography-Based Human-Computer Interaction is a human-computer interaction paradigm that utilizes electromyographic signals as the primary input modality to enable direct, real-time control of computing systems through voluntary muscle activity.

443

Publications

22.4K

Citations

1.4K

Authors

535

Institutions

Publications per year

2017–2026

174

Authors

1.4K

  1. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    17 publications · 645 citations

    15

    h-index

  2. MW
    Michael Wand

    Max Planck Institute for Informatics, Germany

    15 publications · 458 citations

    13

    h-index

  3. MJ
    Matthias Janke

    Karlsruhe Institute of Technology, Germany

    10 publications · 377 citations

    10

    h-index

  4. TT
    Toshio Tsuji

    Hiroshima University, Japan

    9 publications · 806 citations

    9

    h-index

  5. ES
    Erik Scheme

    University of New Brunswick, Canada

    8 publications · 390 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. 22

    h-index

  2. Sensors

    18 publications · 1.2K citations

    16

    h-index

  3. IEEE Transactions on Biomedical Engineering

    11 publications · 1K citations

    11

    h-index

  4. IEEE Access

    10 publications · 353 citations

    10

    h-index

  5. Applied Ergonomics

    6 publications · 341 citations

    6

    h-index

1–5