Camera-based Assistive Systems

Camera-Based Assistive Systems is a singular academic concept referring to a class of visual assistive technologies that utilize digital cameras as primary sensory input devices to capture and analyze environmental visual data, thereby enabling real-time perception, navigation, and object recognition support for individuals with visual impairments.

163

Publications

7.1K

Citations

591

Authors

224

Institutions

Publications per year

2017–2026

66

Authors

591

  1. JM
    James M. Coughlan

    Smith-Kettlewell Eye Research Institute, United States

    7 publications · 305 citations

    7

    h-index

  2. MB
    Margrit Betke

    Boston University, United States

    4 publications · 782 citations

    4

    h-index

  3. YT
    Yingli Tian

    City College of New York, United States

    4 publications · 188 citations

    4

    h-index

  4. HS
    Huiying Shen

    Smith-Kettlewell Eye Research Institute, United States

    4 publications · 180 citations

    4

    h-index

  5. JG
    James Gips

    Boston College, United States

    3 publications · 583 citations

    3

    h-index

1–5 of 591

Venues

  1. Sensors

    6 publications · 141 citations

    6

    h-index

  2. EURASIP Journal on Image and Video Processing

    3 publications · 76 citations

    3

    h-index

  3. IEEE Access

    3 publications · 194 citations

    3

    h-index

  4. Applied Sciences

    3 publications · 74 citations

    3

    h-index

  5. Journal of Physics Conference Series

    3 publications · 55 citations

    3

    h-index

1–5