Wearable Context Sensing

Wearable Context Sensing is a context-aware computing method that continuously captures and interprets environmental, physiological, and behavioral data through integrated sensors embedded in wearable devices to dynamically infer the user's situational context for adaptive Augmented Reality experiences.

15

Publications

1.1K

Citations

45

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

45

  1. NI
    Noit Inbar

    Tel Aviv Sourasky Medical Center, Israel

    2 publications · 114 citations

    2

    h-index

  2. DR
    Daniel Roggen

    ETH Zurich, Switzerland

    2 publications · 114 citations

    2

    h-index

  3. MT
    Masahiko Tsukamoto

    Kobe University, Japan

    2 publications · 22 citations

    2

    h-index

  4. NG
    Nir Giladi

    Tel Aviv University, Israel

    2 publications · 114 citations

    2

    h-index

  5. DP
    Daniel P. Siewiorek

    Carnegie Mellon University, United States

    2 publications · 112 citations

    2

    h-index

1–5 of 45

Venues

  1. Communications of the ACM

    1 publications · 49 citations

    1

    h-index

  2. Artificial Intelligence in Medicine

    AIM · 1 publications · 169 citations

    1

    h-index

  3. IEEE Transactions on Affective Computing

    TAC · 1 publications · 57 citations

    1

    h-index

  4. Sensors

    1 publications · 47 citations

    1

    h-index

  5. Personal and Ubiquitous Computing

    1 publications · 363 citations

    1

    h-index

1–5