Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
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DOI: 10.1371/journal.pone.0184216
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References listed on IDEAS
- Maia Smith & Dietrich Berdel & Dennis Nowak & Joachim Heinrich & Holger Schulz, 2015. "Sport Engagement by Accelerometry under Field Conditions in German Adolescents: Results from GINIPlus," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
- Heike Leutheuser & Dominik Schuldhaus & Bjoern M Eskofier, 2013. "Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-11, October.
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Cited by:
- Ivan Miguel Pires & Faisal Hussain & Nuno M. Garcia & Eftim Zdravevski, 2020. "Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study," Future Internet, MDPI, vol. 12(9), pages 1-18, September.
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