<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1794-1237</journal-id>
<journal-title><![CDATA[Revista EIA]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.EIA.Esc.Ing.Antioq]]></abbrev-journal-title>
<issn>1794-1237</issn>
<publisher>
<publisher-name><![CDATA[Escuela de ingenieria de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1794-12372020000200361</article-id>
<article-id pub-id-type="doi">10.24050/reia.v17i34.1472</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Proposal for Gait Analysis Using Fusion of Inertial-Magnetic and Optical Sensors]]></article-title>
<article-title xml:lang="es"><![CDATA[Propuesta para el análisis de la marcha mediante fusión de sensores inerciales-magnéticos y ópticos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Callejas-Cuervo]]></surname>
<given-names><![CDATA[Mauro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vélez-Guerrero]]></surname>
<given-names><![CDATA[Manuel A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alarcón-Aldana]]></surname>
<given-names><![CDATA[Andrea C.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Pedagógica y Tecnológica de Colombia  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>17</volume>
<numero>34</numero>
<fpage>361</fpage>
<lpage>371</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1794-12372020000200361&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1794-12372020000200361&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1794-12372020000200361&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract A proposed measurement protocol for the lower limbs movement analysis during walking is presented, with the use of a measurement system based on inertial-magnetic motion processing units and an optical system. Initially, the state of the art in terms of methods and tools for the biomechanical capture of movements is shown, to finally explore the protocols used in the health sciences for the gait analysis. The measurement proposal made in this document uses robust features of inertial-magnetic and optical technology that can be used in medical diagnosis. The application of this proposal can generate tools that have a positive impact in the fields of health and medicine.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Se presenta una propuesta para el desarrollo de un protocolo de medición para el análisis del movimiento de las extremidades inferiores durante la marcha, con el uso de un sistema de medición basado en unidades de procesamiento de movimiento inercial-magnético y un sistema óptico. Inicialmente, se presenta el estado del arte en términos de métodos y herramientas para la captura biomecánica de movimientos, para finalmente explorar los protocolos utilizados en las ciencias de la salud para el análisis de la marcha. La propuesta de medición realizada en este documento utiliza características robustas de la tecnología inercial-magnética y óptica que puede ser usado en el diagnóstico médico. La aplicación de ésta propuesta puede generar herramientas que impactan positivamente en los campos de la salud y la medicina.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Inertial magnetic sensor]]></kwd>
<kwd lng="en"><![CDATA[gait analysis]]></kwd>
<kwd lng="en"><![CDATA[human motion]]></kwd>
<kwd lng="en"><![CDATA[depth cameras]]></kwd>
<kwd lng="en"><![CDATA[sensor fusion]]></kwd>
<kwd lng="es"><![CDATA[Sensor magnético inercial]]></kwd>
<kwd lng="es"><![CDATA[análisis de la marcha]]></kwd>
<kwd lng="es"><![CDATA[movimiento humano]]></kwd>
<kwd lng="es"><![CDATA[cámaras de profundidad]]></kwd>
<kwd lng="es"><![CDATA[fusión de sensores]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>[1]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shiotani]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Watanabe]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Murakami]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuge]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Research on detection method for abnor mal gait using three-dimensional thigh motion analysis with inertial sensor]]></article-title>
<source><![CDATA[Transac tions of Japanese Society for Medical and Biological Engineering]]></source>
<year>2019</year>
<volume>57</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-7</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>[2]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Adamová]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Kutilek]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Cakrt]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Svoboda]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Viteckova]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Smrcka]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quantifying postural stability of patients with cerebellar disorder during quiet stance using three-axis accele rometer]]></article-title>
<source><![CDATA[Biomed. Signal Process. Control]]></source>
<year>2018</year>
<volume>40</volume>
<page-range>378-84</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>[3]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Mok]]></surname>
<given-names><![CDATA[P.Y]]></given-names>
</name>
</person-group>
<source><![CDATA[Investigation on human body movements and the resulting body mea surement variations]]></source>
<year>2018</year>
<volume>602</volume>
<conf-name><![CDATA[ International Conference on Physical Ergonomics and Human Factors]]></conf-name>
<conf-date>2017</conf-date>
<conf-loc> </conf-loc>
<page-range>387-99</page-range><publisher-loc><![CDATA[Hong Kong ]]></publisher-loc>
<publisher-name><![CDATA[Springer Verlag, The Hong Kong Polytechnic University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>[4]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[El Maachi]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Bilodeau]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouachir]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait.]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2020</year>
<volume>143</volume>
<page-range>113075</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>[5]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rana]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dey]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghavami]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Dudley]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Non-Contact Human Gait Identification Through IR-UWB Edge-Based Monitoring Sensor.]]></article-title>
<source><![CDATA[IEEE Sensors Journal]]></source>
<year>2019</year>
<volume>19</volume>
<numero>20</numero>
<issue>20</issue>
<page-range>9282-93</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>[6]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Lai]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Gait analysis and recognition prediction of the human skeleton based on migration learning]]></article-title>
<source><![CDATA[Physica A: Statistical Mechanics and its Applications]]></source>
<year>2019</year>
<volume>532</volume>
<page-range>121812</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>[7]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Callejas-Cuervo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gutierrez]]></surname>
<given-names><![CDATA[R.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hernandez]]></surname>
<given-names><![CDATA[A.I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Joint amplitude MEMS based measure ment platform for low cost and high accessibility telerehabilitation: Elbow case study]]></article-title>
<source><![CDATA[J. Bodyw. Mov. Ther.]]></source>
<year>2017</year>
<volume>21</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>574-81</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>[8]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cuervo]]></surname>
<given-names><![CDATA[M.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Olaya]]></surname>
<given-names><![CDATA[A.F.]]></given-names>
</name>
<name>
<surname><![CDATA[Salamanca]]></surname>
<given-names><![CDATA[R.M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Biomechanical motion capture methods focused on tele-physiotherapy]]></article-title>
<source><![CDATA[2013 Pan American Health Care Exchanges PAHCE]]></source>
<year>2013</year>
<page-range>1-6</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>[9]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dawe]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Expanding instrumented gait testing in the community setting: A portable, depth-sensing camera captures joint motion in older adults]]></article-title>
<source><![CDATA[PLOS ONE]]></source>
<year>2019</year>
<volume>14</volume>
<numero>5,</numero>
<issue>5,</issue>
</nlm-citation>
</ref>
<ref id="B10">
<label>[10]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bilesan A.]]></surname>
<given-names><![CDATA[Behzadipour S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsujita T.]]></surname>
<given-names><![CDATA[Komizunai S.]]></given-names>
</name>
<name>
<surname><![CDATA[Konno]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Markerless Human Motion Tracking Using Microsoft Kinect SDK and Inverse Kinematics]]></source>
<year>2019</year>
<volume>12</volume>
<conf-name><![CDATA[ 12thAsian Control Confe rence, ASCC]]></conf-name>
<conf-date>2019</conf-date>
<conf-loc> </conf-loc>
<page-range>149757</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>[11]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baek]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Real-Time Tracking IDs and Joints of Users]]></source>
<year>2018</year>
<conf-name><![CDATA[ VIIInternational Conference on Network, Communication and Computing]]></conf-name>
<conf-loc> </conf-loc>
<page-range>221-6</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>[12]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vo]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tuan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Van]]></surname>
<given-names><![CDATA[T.V.]]></given-names>
</name>
<name>
<surname><![CDATA[Vu]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Hau]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Thang]]></surname>
<given-names><![CDATA[N.D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Abnormal Gait Detection and Classifica tion Using Depth Camera]]></source>
<year>2018</year>
<conf-name><![CDATA[ 6th.Conf. Dev. Biomed. Eng. Vietnam (BME6), IFMBE Proc]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-6</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>[13]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deligianni]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Wong]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Lo]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[G.-Z]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A fusion framework to estimate plantar ground force distributions and ankle dynamics]]></article-title>
<source><![CDATA[Inf. Fusion]]></source>
<year>2018</year>
<volume>41</volume>
<page-range>255-63</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>[14]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[LeMoyne]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mastroianni]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[The rise of inertial measurement units. Smart Sensors, Mea surement and Instrumentation,]]></source>
<year>2018</year>
<volume>27</volume>
<page-range>45-58</page-range><publisher-loc><![CDATA[Flagstaff, AZ, United States ]]></publisher-loc>
<publisher-name><![CDATA[Springer International Publishing, Department of Biological Sciences, Center for Bioengineering Innovation, Northern Arizona Univer sity]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<label>[15]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qiu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Qin]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion]]></article-title>
<source><![CDATA[Inf. Fusion]]></source>
<year>2018</year>
<volume>39</volume>
<page-range>108-19</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>[16]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wearable inertial sensor based parametric calibration of lower-limb kinematics]]></article-title>
<source><![CDATA[Sensors Actuators, A Phys]]></source>
<year>2017</year>
<volume>265</volume>
<page-range>280-96</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>[17]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iosa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Picerno]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Paolucci]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Morone]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wearable inertial sensors for human move ment analysis]]></article-title>
<source><![CDATA[Expert Rev. Med. Devices]]></source>
<year>2017</year>
<volume>4444</volume>
<page-range>1-19</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>[18]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Tseng]]></surname>
<given-names><![CDATA[P.-H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Geometrical kinematic modeling on human mo tion using method of multi-sensor fusion]]></article-title>
<source><![CDATA[Inf. Fusion]]></source>
<year>2018</year>
<volume>41</volume>
<page-range>243-54</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>[19]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bevilacqua]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A comprehensive approach for physical rehabilitation assessment in multiple sclerosis patients based on gait analysis BT.]]></article-title>
<source><![CDATA[Advances in Intelligent Systems and Computing]]></source>
<year>2018</year>
<volume>590</volume>
<page-range>119-28</page-range><publisher-loc><![CDATA[Bari, Italy ]]></publisher-loc>
<publisher-name><![CDATA[Springer Verlag, Department of Electrical and Information Engineering, Polytechnic University of Bari]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<label>[20]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Movement Symmetry Assessment by Bilateral Motion Data Fusion]]></article-title>
<source><![CDATA[IEEE Transactions on Biomedical Engineering]]></source>
<year>2019</year>
<volume>66</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>225-36</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>[ 21]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ho]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Chun]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Moon]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Measurement and Analysis of Gait Pattern during Stair Walk for Improvement of Robotic Locomotion Rehabilitation System]]></article-title>
<source><![CDATA[Applied Bionics and Biomechanics,]]></source>
<year>2019</year>
<volume>2019</volume>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>[22]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Cang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey on wearable sensor modality centred human activity re cognition in health care.]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2019</year>
<volume>137</volume>
<page-range>167-90</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>[23]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Azman]]></surname>
<given-names><![CDATA[A.M]]></given-names>
</name>
<name>
<surname><![CDATA[Kuga]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Sagawa]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Nagai]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<source><![CDATA[Fastest Gait Parameters Estimation Precision Comparison Utilizing High-Sensitivity and Low-Sensitivity Inertial Sensor]]></source>
<year>2018</year>
<page-range>79-84</page-range><publisher-loc><![CDATA[Singapore ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B24">
<label>[24]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Budzy&#324;ska]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jagielski]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[&#379;yli&#324;ski]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Cybulski]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Niewiadomski]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Verification of Se lected Gait Parameters Derived from Inertial Sensors Using Simple Smartphone Based Optical System]]></article-title>
<source><![CDATA[Advances in Intelligent Systems and Computing]]></source>
<year>2020</year>
<volume>1044</volume>
<page-range>87-94</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>[25]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wouda]]></surname>
<given-names><![CDATA[F.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kine matics During Running Using Three Inertial Sensors, Front]]></article-title>
<source><![CDATA[Physiol]]></source>
<year>2018</year>
<volume>9</volume>
<numero>218</numero>
<issue>218</issue>
</nlm-citation>
</ref>
<ref id="B26">
<label>[26]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McGrath]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Fineman]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Stirling]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Auto-Calibrating Knee Flexion-Extension Axis Esti mator Using Principal Component Analysis with Inertial Sensors]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2018</year>
<volume>18</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1882</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>[27]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zago]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Gait evaluation using inertial measurement units in subjects with Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[J. Electromyogr. Kinesiol]]></source>
<year>2018</year>
<volume>42</volume>
<page-range>44-8</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>[28]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Charlton]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Shull]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Hunt]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Validity and reliability of a shoe-embedded sensor module for measuring foot progression angle during over-ground walking]]></article-title>
<source><![CDATA[Journal of Biomechanics]]></source>
<year>2019</year>
<volume>89</volume>
<page-range>123-7</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>[29]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wagner]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of two techniques for monitoring of human movements]]></article-title>
<source><![CDATA[Meas. J. Int. Meas. Confed.]]></source>
<year>2017</year>
<volume>111</volume>
<page-range>420-31</page-range></nlm-citation>
</ref>
<ref id="B30">
<label>[30]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marxreiter]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Journal of Neurology]]></source>
<year>2019</year>
<volume>265</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>2656-65</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>[31]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Watanabe]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tadano]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Examination of Stimulation Timing Patterns for Mobile FES Cycling Under Closed-Loop Control of Low Cycling Speed]]></article-title>
<source><![CDATA[Converging Clinical and Engi neering Research on Neurorehabilitation III]]></source>
<year>2018</year>
<volume>21</volume>
<page-range>1106-10</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>[32]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Petraglia]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Scarcella]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Pedrazzi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Brancato]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Puers]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Costantino]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis]]></article-title>
<source><![CDATA[Euro pean Journal of Physical and Rehabilitation Medicine]]></source>
<year>2019</year>
<volume>55</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B33">
<label>[33]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hanawa]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Validity of inertial measurement units in assessing segment angles and mechanical energies of elderly persons during sit-to-stand motion]]></source>
<year>2019</year>
<conf-name><![CDATA[ 58thAnnual Confe rence of the Society of Instrument and Control Engineers of Japan (SICE)]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B34">
<label>[34]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fleron]]></surname>
<given-names><![CDATA[M.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ubbesen]]></surname>
<given-names><![CDATA[N.C.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Battistella]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Dejtiar]]></surname>
<given-names><![CDATA[D.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[A.S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Accuracy between optical and inertial motion capture systems for assessing trunk speed during preferred gait and transition periods, Sport]]></article-title>
<source><![CDATA[Biomech]]></source>
<year>2018</year>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>[35]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tjhai]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Steward]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Lichti]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[O&#8217;Keefe]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<source><![CDATA[Using a mobile range-camera motion captu re system to evaluate the performance of integration of multiple low-cost wearable sensors and gait kinematics for pedestrian navigation in realistic environments]]></source>
<year>2018</year>
<conf-name><![CDATA[ IEEE/ION Position, Location and Navigation Symposium]]></conf-name>
<conf-date>2018</conf-date>
<conf-loc> </conf-loc>
<page-range>294-300</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>[36]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wolosker]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Nakano]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Rosoky]]></surname>
<given-names><![CDATA[R.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Puech-Leao]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of walking capacity over time in 500 patients with intermittent claudication who underwent clinical treatment]]></article-title>
<source><![CDATA[Arch. Intern. Med]]></source>
<year>2003</year>
<volume>163</volume>
<page-range>2296-300</page-range></nlm-citation>
</ref>
<ref id="B37">
<label>[37]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schwartz]]></surname>
<given-names><![CDATA[M.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Rozumalski]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The gait deviation index: A new comprehensive index of gait pathology]]></article-title>
<source><![CDATA[Gait Posture]]></source>
<year>2008</year>
<volume>28</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>351-7</page-range></nlm-citation>
</ref>
<ref id="B38">
<label>[38]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sprager]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Juric]]></surname>
<given-names><![CDATA[M.B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inertial Sensor-Based Gait Recognition: A Review]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2015</year>
<volume>15</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>22089-127</page-range></nlm-citation>
</ref>
<ref id="B39">
<label>[39]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Whittle]]></surname>
<given-names><![CDATA[M.W]]></given-names>
</name>
</person-group>
<source><![CDATA[An Introduction to Gait Analysis]]></source>
<year>2007</year>
<edition>4th</edition>
<publisher-loc><![CDATA[Oxford ]]></publisher-loc>
<publisher-name><![CDATA[Butterworth-Heine mann]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
