Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion
Identifieur interne : 000667 ( Main/Exploration ); précédent : 000666; suivant : 000668Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion
Auteurs : Quentin Mourcou ; Anthony Fleury ; Céline Franco ; Frédéric Klopcic ; Nicolas Vuillerme [France, Danemark]Source :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2015.
Abstract
Over the years, smartphones have become tools for scientific and clinical research. They can, for instance, be used to assess range of motion and joint angle measurement. In this paper, our aim was to determine if smartphones are reliable and accurate enough for clinical motion research. This work proposes an evaluation of different smartphone sensors performance and different manufacturer algorithm performances with the comparison to the gold standard, an industrial robotic arm with an actual standard use inertial motion unit in clinical measurement, an Xsens product. Both dynamic and static protocols were used to perform these comparisons. Root Mean Square (RMS) mean values results for static protocol are under 0.3° for the different smartphones. RMS mean values results for dynamic protocol are more prone to bias induced by Euler angle representation. Statistical results prove that there are no filter effect on results for both protocols and no hardware effect. Smartphones performance can be compared to the Xsens gold standard for clinical research.
Url:
DOI: 10.3390/s150923168
PubMed: 26389900
PubMed Central: 4610531
Affiliations:
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They can, for instance, be used to assess range of motion and joint angle measurement. In this paper, our aim was to determine if smartphones are reliable and accurate enough for clinical motion research. This work proposes an evaluation of different smartphone sensors performance and different manufacturer algorithm performances with the comparison to the gold standard, an industrial robotic arm with an actual standard use inertial motion unit in clinical measurement, an Xsens product. Both dynamic and static protocols were used to perform these comparisons. Root Mean Square (RMS) mean values results for static protocol are under 0.3° for the different smartphones. RMS mean values results for dynamic protocol are more prone to bias induced by Euler angle representation. Statistical results prove that there are no filter effect on results for both protocols and no hardware effect. 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Wang</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Danemark</li><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li><li>Île-de-France</li></region><orgName><li>Université de Genève</li></orgName></list><tree><noCountry><name sortKey="Fleury, Anthony" sort="Fleury, Anthony" uniqKey="Fleury A" first="Anthony" last="Fleury">Anthony Fleury</name><name sortKey="Franco, Celine" sort="Franco, Celine" uniqKey="Franco C" first="Céline" last="Franco">Céline Franco</name><name sortKey="Klopcic, Frederic" sort="Klopcic, Frederic" uniqKey="Klopcic F" first="Frédéric" last="Klopcic">Frédéric Klopcic</name><name sortKey="Mourcou, Quentin" sort="Mourcou, Quentin" uniqKey="Mourcou Q" first="Quentin" last="Mourcou">Quentin Mourcou</name></noCountry><country name="France"><region name="Île-de-France"><name sortKey="Vuillerme, Nicolas" sort="Vuillerme, Nicolas" uniqKey="Vuillerme N" first="Nicolas" last="Vuillerme">Nicolas Vuillerme</name></region><name sortKey="Vuillerme, Nicolas" sort="Vuillerme, Nicolas" uniqKey="Vuillerme N" first="Nicolas" last="Vuillerme">Nicolas Vuillerme</name></country><country name="Danemark"><noRegion><name sortKey="Vuillerme, Nicolas" sort="Vuillerme, Nicolas" uniqKey="Vuillerme N" first="Nicolas" last="Vuillerme">Nicolas Vuillerme</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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