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Sensors 2016, 16(10), 1569; doi:10.3390/s16101569

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

1
Department of Electronic Engineering, Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil
2
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 28 June 2016 / Revised: 1 September 2016 / Accepted: 13 September 2016 / Published: 23 September 2016
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
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Abstract

The following work presents an overview of smart sensors and sensor fusion targeted at biomedical applications and sports areas. In this work, the integration of these areas is demonstrated, promoting a reflection about techniques and applications to collect, quantify and qualify some physical variables associated with the human body. These techniques are presented in various biomedical and sports applications, which cover areas related to diagnostics, rehabilitation, physical monitoring, and the development of performance in athletes, among others. Although some applications are described in only one of two fields of study (biomedicine and sports), it is very likely that the same application fits in both, with small peculiarities or adaptations. To illustrate the contemporaneity of applications, an analysis of specialized papers published in the last six years has been made. In this context, the main characteristic of this review is to present the largest quantity of relevant examples of sensor fusion and smart sensors focusing on their utilization and proposals, without deeply addressing one specific system or technique, to the detriment of the others. View Full-Text
Keywords: smart sensors; sensor fusion; biomedical; sports; rehabilitation; development of performance in athletes smart sensors; sensor fusion; biomedical; sports; rehabilitation; development of performance in athletes
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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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MDPI and ACS Style

Mendes Jr., J.J.A.; Vieira, M.E.M.; Pires, M.B.; Stevan Jr., S.L. Sensor Fusion and Smart Sensor in Sports and Biomedical Applications. Sensors 2016, 16, 1569.

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