Environmental Context Sensing

Environmental Context Sensing is a context-aware computing method that distinguishes itself by detecting and interpreting physical environment characteristics—such as lighting, temperature, sound, and spatial layout—through sensor-based technologies to dynamically inform augmented reality systems.

100

Publications

8.2K

Citations

496

Authors

235

Institutions

Publications per year

2017–2026

42

Authors

496

  1. PH
    Pascal Hingamp

    Centre National de la Recherche Scientifique, France

    2 publications · 252 citations

    2

    h-index

  2. RA
    Ridwan Alam

    University of Virginia, United States

    2 publications · 65 citations

    2

    h-index

  3. PZ
    Pengfei Zhou

    Nanyang Technological University, Singapore

    2 publications · 565 citations

    2

    h-index

  4. TI
    Takeo Isarida

    Shizuoka University, Japan

    2 publications · 27 citations

    2

    h-index

  5. JL
    John Lach

    University of Virginia, United States

    2 publications · 65 citations

    2

    h-index

1–5 of 496

Venues

  1. Integrative and Comparative Biology

    2 publications · 282 citations

    2

    h-index

  2. Quaternary International

    2 publications · 96 citations

    2

    h-index

  3. Journal of Comparative Physiology A

    2 publications · 93 citations

    2

    h-index

  4. Frontiers in Psychology

    2 publications · 43 citations

    2

    h-index

  5. Sensors

    2 publications · 202 citations

    2

    h-index

1–5