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Information 2018, 9(12), 321;

A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment

2,†,* and 1,†
School of Information and Automation Engineering, Università Politecnica delle Marche (uPM), 60131 Ancona, Italy
Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche (uPM), 60131 Ancona, Italy
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 31 October 2018 / Revised: 8 December 2018 / Accepted: 10 December 2018 / Published: 12 December 2018
(This article belongs to the Special Issue eHealth and Artificial Intelligence)
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The present contribution focuses on the estimation of the Cartesian kinematic jerk of the hips’ orientation during a full three-dimensional movement in the context of enabling eHealth applications of advanced mathematical signal analysis. The kinematic jerk index is estimated on the basis of gyroscopic signals acquired offline through a smartphone. A specific free mobile application is used to acquire the gyroscopic signals and to transmit them to a personal computer through a wireless network. The personal computer elaborates the acquired data and returns the kinematic jerk index associated with a motor task. A comparison of the kinematic jerk index value on a number of data sets confirms that such index can be used to evaluate the fluency of hips orientation during motion. The present research confirms that the proposed gyroscopic data acquisition/processing setup constitutes an inexpensive and portable solution to motion fluency analysis. The proposed data-acquisition and data-processing setup may serve as a supporting eHealth technology in clinical bio-mechanics as well as in sports science. View Full-Text
Keywords: complex body movement; hips sway; fluency assessment; gyroscopic sensors; smartphone complex body movement; hips sway; fluency assessment; gyroscopic sensors; smartphone

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Civita, A.; Fiori, S.; Romani, G. A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment. Information 2018, 9, 321.

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