Sensor-based Behavioral Biometrics

Sensor-Based Behavioral Biometrics is a type of behavioral biometric system that uniquely identifies individuals based on their distinctive interaction patterns with device-embedded sensors, such as touchscreens, accelerometers, and gyroscopes, by analyzing temporally continuous behavioral signals generated during natural device usage.

122

Publications

5.6K

Citations

449

Authors

186

Institutions

Publications per year

2017–2026

71

Authors

449

  1. GI
    Gülfem Işıklar Alptekin

    Galatasaray University, Türkiye

    5 publications · 177 citations

    5

    h-index

  2. ÖD
    Özlem Durmaz İncel

    Galatasaray University, Türkiye

    5 publications · 177 citations

    5

    h-index

  3. BC
    Bruno Crispo

    University of Trento, Italy

    4 publications · 202 citations

    4

    h-index

  4. AM
    Aythami Morales

    Universidad Autónoma de Madrid, Spain

    4 publications · 67 citations

    4

    h-index

  5. Mİ
    Mustafa İşbilen

    Teknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic, Türkiye

    4 publications · 159 citations

    4

    h-index

1–5 of 449

Venues

  1. Procedia Computer Science

    5 publications · 145 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 71 citations

    4

    h-index

  3. IEEE Access

    4 publications · 458 citations

    4

    h-index

  4. IEEE Transactions on Human-Machine Systems

    3 publications · 138 citations

    3

    h-index

  5. Sensors

    3 publications · 268 citations

    3

    h-index

1–5