Remote Assistance Technologies

Remote Assistance Technologies is a technological framework that enables real-time, distance-based support for individuals with visual impairments by connecting them with human assistants or automated systems through digital communication platforms, distinguishing it from local or embedded assistive tools by its reliance on remote interaction and shared sensory or navigational data.

229

Publications

10.7K

Citations

955

Authors

380

Institutions

Publications per year

2017–2026

106

Authors

955

  1. ZA
    Zeeshan Asghar

    National University of Technology, Pakistan

    4 publications · 127 citations

    4

    h-index

  2. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    4 publications · 1.3K citations

    4

    h-index

  3. WH
    Weidong Huang

    University of Technology Sydney, Australia

    4 publications · 80 citations

    4

    h-index

  4. MV
    Massimo Villari

    University of Messina, Italy

    4 publications · 183 citations

    4

    h-index

  5. AC
    Antonio Celesti

    University of Messina, Italy

    4 publications · 183 citations

    4

    h-index

1–5 of 955

Venues

  1. Sensors

    7 publications · 217 citations

    7

    h-index

  2. IEEE Access

    4 publications · 210 citations

    4

    h-index

  3. Procedia Manufacturing

    4 publications · 310 citations

    4

    h-index

  4. Telemedicine Journal and e-Health

    4 publications · 218 citations

    4

    h-index

  5. Drones

    3 publications · 200 citations

    3

    h-index

1–5