The Use of Wearable Sensors in Human Movement Analysis in Non-Swimming Aquatic Activities: A Systematic Review

Daniel A. Marinho, Henrique P. Neiva and Jorge E. Morais
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Daniel A. Marinho: Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
Henrique P. Neiva: Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
Jorge E. Morais: Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal

IJERPH, 2019, vol. 16, issue 24, 1-11

Abstract: The use of smart technology, specifically inertial sensors (accelerometers, gyroscopes, and magnetometers), to analyze swimming kinematics is being reported in the literature. However, little is known about the usage/application of such sensors in other human aquatic exercises. As the sensors are getting smaller, less expensive, and simple to deal with (regarding data acquisition), one might consider that its application to a broader range of exercises should be a reality. The aim of this systematic review was to update the state of the art about the framework related to the use of sensors assessing human movement in an aquatic environment, besides swimming. The following databases were used: IEEE Xplore, Pubmed, Science Direct, Scopus, and Web of Science. Five articles published in indexed journals, aiming to assess human exercises/movements in the aquatic environment were reviewed. The data from the five articles was categorized and summarized based on the aim, purpose, participants, sensor’s specifications, body area and variables analyzed, and data analysis and statistics. The analyzed studies aimed to compare the movement/exercise kinematics between environments (i.e., dry land versus aquatic), and in some cases compared healthy to pathological participants. The use of sensors in a rehabilitation/hydrotherapy perspective may provide major advantages for therapists.

Keywords: human motion; aquatic; exercise; sensor (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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