Wearable-based Feedback

Wearable-Based Feedback is a behavior change strategy that consists of real-time, personalized feedback derived from physiological or behavioral data collected through wearable devices to support self-monitoring and promote sustained behavioral modification.

85

Publications

4.3K

Citations

350

Authors

146

Institutions

Publications per year

2017–2026

46

Authors

350

  1. AK
    Anton Kos

    University of Ljubljana, Slovenia

    3 publications · 153 citations

    3

    h-index

  2. AU
    Anton Umek

    University of Ljubljana, Slovenia

    3 publications · 153 citations

    3

    h-index

  3. FD
    Florian Daiber

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 71 citations

    2

    h-index

  4. FG
    François Guimbretière

    Cornell University, United States

    2 publications · 211 citations

    2

    h-index

  5. SB
    Susanne Boll

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 33 citations

    2

    h-index

1–5 of 350

Venues

  1. Journal of NeuroEngineering and Rehabilitation

    JNER · 3 publications · 219 citations

    3

    h-index

  2. Physiotherapy Theory and Practice

    2 publications · 42 citations

    2

    h-index

  3. Sensors

    2 publications · 154 citations

    2

    h-index

  4. JMIR mhealth and uhealth

    2 publications · 57 citations

    2

    h-index

  5. 1

    h-index

1–5