Multi-modal Input Interfaces

Multi-Modal Input Interfaces is a class of adaptive input systems that integrates multiple distinct input modalities—such as gesture, voice, gaze, and touch—within a single unified framework to enhance accessibility, flexibility, and user interaction accuracy by enabling redundant or complementary pathways for command input.

21

Publications

930

Citations

64

Authors

29

Institutions

Publications per year

2017–2026

6

Authors

64

  1. KL
    Ke Liu

    Nantong University, China

    1 publications · 26 citations

    1

    h-index

  2. RS
    Robert Schleicher

    Technische Universität Berlin, Germany

    1 publications · 21 citations

    1

    h-index

  3. SS
    Stefan Schaffer

    Leibniz University Hannover, Germany

    1 publications · 21 citations

    1

    h-index

  4. GV
    Gunaranjan Vasireddy

    AT&T (United States), United States

    1 publications · 20 citations

    1

    h-index

  5. AR
    Albert Rizzo

    University of Southern California, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 64

Venues

  1. Sensors

    1 publications · 54 citations

    1

    h-index

  2. 1

    h-index

  3. Applied Ergonomics

    1 publications · 41 citations

    1

    h-index

  4. IEEE Access

    1 publications · 179 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 107 citations

    1

    h-index

1–5