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Appl. Sci. 2018, 8(2), 167;

Special Issue on Wearable Computing and Machine Learning for Applications in Sports, Health, and Medical Engineering

College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01002, USA
Department of Computer Science, Friedrich-Alexander University Erlangen-Nuernberg, 91054 Erlangen, Germany
Authors to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 23 January 2018 / Accepted: 23 January 2018 / Published: 25 January 2018
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Note: In lieu of an abstract, this is an excerpt from the first page.


Recent advancement in digital technologies is driving a remarkable transformation in sports, health, and medical engineering, aiming to achieve the accurate quantification of performance, well-being, and disease condition, and the optimization of sports, clinical, and therapeutic training and treatment programs.[...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, S.I.; Eskofier, B.M. Special Issue on Wearable Computing and Machine Learning for Applications in Sports, Health, and Medical Engineering. Appl. Sci. 2018, 8, 167.

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