Fitness Tracking
Fitness Tracking is a methodological framework within the Wearable Internet of Things that enables the continuous monitoring, analysis, and interpretation of physiological and kinematic data to quantify physical activity and health-related metrics in real time.
237
Publications
14K
Citations
912
Authors
426
Institutions
Publications per year
2017–2026
174
Parents
237
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors
Ming Zeng, Le T. Nguyen, Bo Yu et al. · 2014 · 855 citations · Full text
André Henriksen, Martin Haugen Mikalsen, Ashenafi Zebene Woldaregay et al. · Journal of Medical Internet Research · 2018 · 554 citations · Full text
Education, Health Informatics, Consumer Health Informatics +16
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426
University of Maryland, College Park
College Park, United States
5 h-index
9 publications
447 citations
University of California, Irvine
Irvine, United States
5 h-index
11 publications
612 citations
The University of Texas at Austin
Austin, United States
4 h-index
9 publications
328 citations
University of Washington
Seattle, United States
4 h-index
6 publications
767 citations
Ludwig-Maximilians-Universität München
Munich, Germany
4 h-index
7 publications
263 citations
Utrecht University
Utrecht, The Netherlands
4 h-index
6 publications
214 citations

Technische Universität Darmstadt
Darmstadt, Germany
4 h-index
9 publications
437 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
390 citations
1–8 of 426
8 publications · 960 citations
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IMWUT · 7 publications · 501 citations
7
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Repository · 5 publications · 180 citations
5
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4 publications · 138 citations
4
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5 publications · 981 citations
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