{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:08:02Z","timestamp":1760242082224,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,12]],"date-time":"2018-12-12T00:00:00Z","timestamp":1544572800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The present contribution focuses on the estimation of the Cartesian kinematic jerk of the hips\u2019 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.<\/jats:p>","DOI":"10.3390\/info9120321","type":"journal-article","created":{"date-parts":[[2018,12,12]],"date-time":"2018-12-12T10:54:26Z","timestamp":1544612066000},"page":"321","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment"],"prefix":"10.3390","volume":"9","author":[{"given":"Andrea","family":"Civita","sequence":"first","affiliation":[{"name":"School of Information and Automation Engineering, Universit\u00e0 Politecnica delle Marche (uPM), 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5964-7464","authenticated-orcid":false,"given":"Simone","family":"Fiori","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria dell\u2019Informazione, Universit\u00e0 Politecnica delle Marche (uPM), 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Romani","sequence":"additional","affiliation":[{"name":"School of Information and Automation Engineering, Universit\u00e0 Politecnica delle Marche (uPM), 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13045","DOI":"10.1523\/JNEUROSCI.4334-06.2007","article-title":"A computational model for redundant human three-dimensional pointing movements: Integration of independent spatial and temporal motor plans simplifies movement dynamics","volume":"27","author":"Biess","year":"2007","journal-title":"J. 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