Motion-based Input

Motion-Based Input is a type of human-computer interaction technique that enables user input through physical movement detection, distinguished by its reliance on embedded sensors or external devices to translate gestural or kinesthetic actions into digital commands within virtualized environments.

56

Publications

2.3K

Citations

162

Authors

78

Institutions

Publications per year

2017–2026

13

Authors

162

  1. CK
    Caitlin Kelleher

    Washington University in St. Louis, United States

    2 publications · 120 citations

    2

    h-index

  2. GA
    Gazihan Alankuş

    Washington University in St. Louis, United States

    2 publications · 120 citations

    2

    h-index

  3. JR
    Jack R. Engsberg

    Washington University in St. Louis, United States

    2 publications · 120 citations

    2

    h-index

  4. RP
    Rachel Proffitt

    University of Missouri, United States

    2 publications · 120 citations

    2

    h-index

  5. KF
    Kaitlyn Fox

    Carleton University, Canada

    2 publications · 42 citations

    2

    h-index

1–5 of 162

Venues

  1. Computers in entertainment

    CIE · 2 publications · 35 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Man Machine Systems

    1 publications · 15 citations

    1

    h-index

1–5