Behavioral Sensing

Behavioral Sensing is a mobile sensing methodology that captures and analyzes human behavior through passive and continuous acquisition of sensor data from portable devices, distinguished by its focus on inferring psychological, social, and cognitive states from observable behavioral patterns.

363

Publications

30.9K

Citations

1.4K

Authors

473

Institutions

Publications per year

2017–2026

172

Authors

1.4K

  1. AT
    Andrew T. Campbell

    Dartmouth College, United States

    22 publications · 5.9K citations

    21

    h-index

  2. TC
    Tanzeem Choudhury

    Cornell University, United States

    14 publications · 4.3K citations

    14

    h-index

  3. AP
    Alex Pentland

    Massachusetts Institute of Technology, United States

    12 publications · 3.9K citations

    12

    h-index

  4. LE
    Laura E. Barnes

    University of Virginia, United States

    9 publications · 548 citations

    9

    h-index

  5. MM
    Mirco Musolesi

    University College London, United Kingdom

    8 publications · 2.1K citations

    8

    h-index

1–5 of 1.4K

Venues

  1. 10

    h-index

  2. IEEE Pervasive Computing

    9 publications · 803 citations

    8

    h-index

  3. Sensors

    7 publications · 314 citations

    7

    h-index

  4. Journal of Medical Internet Research

    7 publications · 1.4K citations

    7

    h-index

  5. IEEE Access

    6 publications · 351 citations

    6

    h-index

1–5