Electromyography Input

Electromyography Input is a sensory input modality that captures neuromuscular activity through the detection and interpretation of electrical signals generated by muscle contractions for human–computer interaction.

320

Publications

13.9K

Citations

1.1K

Authors

437

Institutions

Publications per year

2017–2026

66

Authors

1.1K

  1. DF
    Dario Farina

    Aalborg University, Denmark

    6 publications · 599 citations

    6

    h-index

  2. JC
    John C. Rothwell

    University College London, United Kingdom

    5 publications · 1K citations

    5

    h-index

  3. DG
    David Guiraud

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 84 citations

    4

    h-index

  4. SS
    Sanjay S. Joshi

    University of California, Davis, United States

    4 publications · 84 citations

    4

    h-index

  5. AJ
    Azael J. Herrero

    Universidad Europea Miguel de Cervantes, Spain

    3 publications · 58 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. PubMed

    Repository · 18 publications · 737 citations

    15

    h-index

  2. 11

    h-index

  3. Experimental Brain Research

    8 publications · 461 citations

    8

    h-index

  4. European Journal of Applied Physiology

    8 publications · 378 citations

    8

    h-index

  5. Journal of Electromyography and Kinesiology

    7 publications · 451 citations

    7

    h-index

1–5