<?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>0123-7799</journal-id>
<journal-title><![CDATA[TecnoLógicas]]></journal-title>
<abbrev-journal-title><![CDATA[TecnoL.]]></abbrev-journal-title>
<issn>0123-7799</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico Metropolitano - ITM]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-77992022000100201</article-id>
<article-id pub-id-type="doi">10.22430/22565337.2164</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Implementación de métodos computacionales para estimar las amplitudes angulares de los miembros inferiores durante el squat]]></article-title>
<article-title xml:lang="en"><![CDATA[Implementation of computational methods to estimate lower limb angle amplitudes during squat]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Blanco-Díaz]]></surname>
<given-names><![CDATA[Cristian Felipe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guerrero-Méndez]]></surname>
<given-names><![CDATA[Cristian David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Duarte-González]]></surname>
<given-names><![CDATA[Mario Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jaramillo-Isaza]]></surname>
<given-names><![CDATA[Sebastián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<volume>25</volume>
<numero>53</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-77992022000100201&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-77992022000100201&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-77992022000100201&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En biomecánica, los sistemas de captura de movimiento basados en video y en marcadores son el método más utilizado para la estimación de parámetros cinemáticos. A nivel técnico, los errores experimentales en la captura de datos suelen estar relacionados con el ocultamiento de los marcadores durante la captura del movimiento. Este fenómeno genera una pérdida de datos que puede afectar el análisis de los resultados. La falta de datos se resuelve aumentando el número de cámaras o utilizando dispositivos adicionales como sensores inerciales. Estas adiciones incrementan el costo experimental de este método. Actualmente, para resolver este tipo de problemas de forma menos costosa, se podrían utilizar nuevos métodos computacionales. Este estudio tiene como objetivo implementar dos métodos computacionales basados en red neuronal artificial (RNA) y regresión de vectores de soporte (RVS) para estimar la amplitud del ángulo de las extremidades durante la ejecución de un movimiento a partir de un solo eje (eje Z). Para entrenar y validar los modelos, se utilizaron características del ejercicio de squat. Los resultados obtenidos incluyeron valores de raíces de error cuadrático medio (RMSE) inferiores a 14 (RMSE mínimo de 5.35) y valores de CC cercanos a 0.98. Los valores estimados son muy cercanos a los ángulos de amplitud experimentales, los análisis estadísticos muestran que no hay diferencias significativas entre las distribuciones y las medias de los valores de amplitud estimados y los valores reales (valor p&gt;0.05). Los resultados demuestran que estos métodos podrían ayudar a los investigadores en biomecánica a realizar análisis precisos, reduciendo el número de cámaras necesarias, reduciendo la incertidumbre y evitando problemas por perdida de datos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In biomechanics, motion capture systems based on video and markers are the most widely used method to estimate kinematic parameters. However, from a technical standpoint, experimental errors in data capture are often related to the masking of markers during motion capture. This phenomenon generates data loss that can affect the analysis of the results. The lack of data is solved by increasing the number of cameras or using additional devices such as inertial sensors. However, those additions increase the experimental cost of this method. Nowadays, new computational methods can be used to solve such problems less expensively. This study implemented two computational methods based on Artificial Neural Networks (ANNs) and Support Vector Regression (SVR) to estimate the amplitude of limb angles during the execution of a movement on a single axis (i.e., the z-axis). The characteristics of the squats were used to train and validate the models. The results obtained include RMSE values lower than 14 (minimum RMSE of 5.35) and CC values close to 0.98. The estimated values are very close to the experimental amplitude angles, and the statistical analyses showed no significant differences between the distributions and means of the estimated amplitude values and their actual counterparts (p-value&gt;0.05). The results show that these methods could help biomechanics researchers perform accurate analyses, decrease the number of cameras needed, reduce uncertainty, and avoid data loss problems.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Redes neuronales artificiales (RNA)]]></kwd>
<kwd lng="es"><![CDATA[análisis biomecánico]]></kwd>
<kwd lng="es"><![CDATA[análisis de squat]]></kwd>
<kwd lng="es"><![CDATA[modelado computacional en biomecánica]]></kwd>
<kwd lng="es"><![CDATA[amplitud angular de miembros inferiores]]></kwd>
<kwd lng="en"><![CDATA[Artificial Neural Networks]]></kwd>
<kwd lng="en"><![CDATA[Biomechanical analysis]]></kwd>
<kwd lng="en"><![CDATA[Squat analysis]]></kwd>
<kwd lng="en"><![CDATA[Computational modeling in biomechanics]]></kwd>
<kwd lng="en"><![CDATA[Lower limb angle amplitudes]]></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[Tits]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tilmanne]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dutoit]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Robust and automatic motion-capture data recovery using soft skeleton constraints and model averaging]]></article-title>
<source><![CDATA[PLoS One]]></source>
<year>2018</year>
<volume>13</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B2">
<label>[2]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ceseracciu]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Sawacha]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Cobelli]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: Proof of concept]]></article-title>
<source><![CDATA[PLoS One]]></source>
<year>2014</year>
<volume>9</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B3">
<label>[3]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jakob]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors]]></source>
<year></year>
<conf-name><![CDATA[ Proceedings of the 8th International Conference on Body Area Networks]]></conf-name>
<conf-date>2013</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B4">
<label>[4]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Mithraratne]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wilson]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[X. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2019</year>
<volume>19</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>2-14</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[Mentiplay]]></surname>
<given-names><![CDATA[B. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasanki]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Perraton]]></surname>
<given-names><![CDATA[L. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Pua]]></surname>
<given-names><![CDATA[Y. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Charlton]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Clark]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Three-dimensional assessment of Squats and drop jumps using the Microsoft Xbox One Kinect: Reliability and validity]]></article-title>
<source><![CDATA[J. Sports Sci.]]></source>
<year>2018</year>
<volume>36</volume>
<numero>19</numero>
<issue>19</issue>
<page-range>2202-9</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[Nakano]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose with Multiple Video Cameras]]></article-title>
<source><![CDATA[Front. Sport. Act. Living]]></source>
<year>2020</year>
<volume>2</volume>
</nlm-citation>
</ref>
<ref id="B7">
<label>[7]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pueo]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[High speed cameras for motion analysis in sports science]]></article-title>
<source><![CDATA[J. Hum. Sport Exerc.]]></source>
<year>2016</year>
<volume>11</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>53-77</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[Gómez Echeverry]]></surname>
<given-names><![CDATA[L. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Jaramillo Henao]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruiz Molina]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Velásquez Restrepo]]></surname>
<given-names><![CDATA[S. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Páramo Velásquez]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Silva Bolívar]]></surname>
<given-names><![CDATA[G. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Human motion capture and analysis systems: a systematic review]]></article-title>
<source><![CDATA[Prospectiva]]></source>
<year>2018</year>
<volume>16</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>24-34</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[Halilaj]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajagopal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fiterau]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hicks]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Hastie]]></surname>
<given-names><![CDATA[T. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Delp]]></surname>
<given-names><![CDATA[S. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities]]></article-title>
<source><![CDATA[J. Biomech.]]></source>
<year>2018</year>
<volume>81</volume>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>[10]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bartlett]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Introduction to Sports Biomechanics]]></source>
<year>2014</year>
<edition>3</edition>
<publisher-name><![CDATA[Routledge]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>[11]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[T. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[C. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Biomechanics of human movement and its clinical applications]]></article-title>
<source><![CDATA[Kaohsiung J. Med. Sci.]]></source>
<year>2012</year>
<volume>28</volume>
<numero>2S</numero>
<issue>2S</issue>
<page-range>S13-25</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>[12]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ericksen]]></surname>
<given-names><![CDATA[H. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Thomas]]></surname>
<given-names><![CDATA[A. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Gribble]]></surname>
<given-names><![CDATA[P. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Armstrong]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rice]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Pietrosimone]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Jump-landing biomechanics following a 4-week real-time feedback intervention and retention]]></article-title>
<source><![CDATA[Clin. Biomech.]]></source>
<year>2016</year>
<volume>32</volume>
<page-range>85-91</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[Chadwick]]></surname>
<given-names><![CDATA[E. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Blana]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[van den Bogert]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kirsch]]></surname>
<given-names><![CDATA[R. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A real-time, 3-D musculoskeletal model for dynamic simulation of arm movements]]></article-title>
<source><![CDATA[IEEE Trans. Biomed. Eng]]></source>
<year>2009</year>
<volume>56</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>941-8</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>[14]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schoenfeld]]></surname>
<given-names><![CDATA[B. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Squatting kinematics and kinetis and their application to exercise performance]]></article-title>
<source><![CDATA[J. Strength Cond. Res.]]></source>
<year>2010</year>
<volume>24</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>3497-506</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>[15]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aggarwal]]></surname>
<given-names><![CDATA[J. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ryoo]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Human activity analysis: A review]]></article-title>
<source><![CDATA[ACM Comput. Surv.]]></source>
<year>2011</year>
<volume>43</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>16-43</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[Almosnino]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kingston]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Graham]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Three-dimensional knee joint moments during performance of the bodyweight Squat: Effects of stance width and foot rotation]]></article-title>
<source><![CDATA[J. Appl. Biomech]]></source>
<year>2013</year>
<volume>29</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>33-43</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[Marchetti]]></surname>
<given-names><![CDATA[P. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Muscle Activation Differs between Three Different Knee Joint-Angle Positions during a Maximal Isometric Back Squat Exercise]]></article-title>
<source><![CDATA[J. Sports Med]]></source>
<year>2016</year>
<volume>2016</volume>
</nlm-citation>
</ref>
<ref id="B18">
<label>[18]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Slater]]></surname>
<given-names><![CDATA[L. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Hart]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Muscle Activation Patterns during Different Squat Techniques]]></article-title>
<source><![CDATA[J. Strength Cond. Res.]]></source>
<year>2017</year>
<volume>31</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>667-76</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[Glassbrook]]></surname>
<given-names><![CDATA[D. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Helms]]></surname>
<given-names><![CDATA[E. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Brown]]></surname>
<given-names><![CDATA[S. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Storey]]></surname>
<given-names><![CDATA[A. G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Review of the Biomechanical Differences Between the High-Bar and Low-Bar Back-Squat]]></article-title>
<source><![CDATA[J. Strength Cond. Res.]]></source>
<year>2017</year>
<volume>31</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>2618-34</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>[20]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Howarth]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Callaghan]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quantitative assessment of the accuracy for three interpolation techniques in kinematic analysis of human movement]]></article-title>
<source><![CDATA[Comput. Methods Biomech. Biomed. Engin.]]></source>
<year>2010</year>
<volume>13</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>847-55</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[Gløersen]]></surname>
<given-names><![CDATA[Ø.]]></given-names>
</name>
<name>
<surname><![CDATA[Federolf]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting Missing Marker Trajectories in Human Motion Data Using Marker Intercorrelations]]></article-title>
<source><![CDATA[PLOS ONE]]></source>
<year>2016</year>
<volume>11</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B22">
<label>[22]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bartlett]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in sports biomechanics: New dawn or false hope?]]></article-title>
<source><![CDATA[J. Sport. Sci. Med.]]></source>
<year>2006</year>
<volume>5</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>474-9</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>[23]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kipp]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Giordanelli]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Geiser]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting net joint moments during a weightlifting exercise with a neural network model]]></article-title>
<source><![CDATA[J. Biomech.]]></source>
<year>2018</year>
<volume>74</volume>
<page-range>225-9</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>[24]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gholipour]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Arjmand]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial neural networks to predict 3D spinal posture in reaching and lifting activities; Applications in biomechanical models]]></article-title>
<source><![CDATA[J. Biomech.]]></source>
<year>2016</year>
<volume>49</volume>
<numero>13</numero>
<issue>13</issue>
<page-range>2946-52</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[Shahid]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Rappon]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Berta]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applications of artificial neural networks in health care organizational decision-making: A scoping review]]></article-title>
<source><![CDATA[PLoS One]]></source>
<year>2019</year>
<volume>14</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B26">
<label>[26]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zangene]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Abbasi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Continuous Estimation of Knee Joint Angle during Squat from sEMG using Artificial Neural Networks]]></source>
<year></year>
<conf-name><![CDATA[ 27th Natl. 5th Int. Iran. Conf. Biomed. Eng. ICBME 2020]]></conf-name>
<conf-date>Nov. 2020</conf-date>
<conf-loc>Tehran </conf-loc>
<page-range>75-8</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[Komaris]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting Three-Dimensional Ground Reaction Forces in Running by Using Artificial Neural Networks and Lower Body Kinematics]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2019</year>
<volume>7</volume>
<page-range>156779-86</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>[28]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bazarevsky]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Grishchenko]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Raveendran]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Grundmann]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[BlazePose: On-device Real-time Body Pose tracking]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B29">
<label>[29]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Blanco-Diaz]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Guerrero-Mendez]]></surname>
<given-names><![CDATA[C. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Duarte-González]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Jaramillo-Isaza]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimation of Limbs Angles Amplitudes During the Use of the Five Minute Shaper Device Using Artificial Neural Networks]]></article-title>
<source><![CDATA[CCIS series]]></source>
<year>2021</year>
<page-range>213-24</page-range></nlm-citation>
</ref>
<ref id="B30">
<label>[30]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Blanco Diaz]]></surname>
<given-names><![CDATA[C. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Quitian González]]></surname>
<given-names><![CDATA[A. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Isaza]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Orjuela-Cañón]]></surname>
<given-names><![CDATA[A. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[A Biomechanical Analysis of Free Squat Exercise Employing Self-Organizing Maps]]></source>
<year></year>
<conf-name><![CDATA[ 2019 IEEE ColCACI]]></conf-name>
<conf-date>Jun. 2019</conf-date>
<conf-loc> </conf-loc>
<page-range>pp. 1-5</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[Ojha]]></surname>
<given-names><![CDATA[V. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Abraham]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sná&#353;el]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Metaheuristic design of feedforward neural networks: A review of two decades of research]]></article-title>
<source><![CDATA[Eng. Appl. Artif. Intell.]]></source>
<year>2017</year>
<volume>60</volume>
<page-range>97-116</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[Fukuchi]]></surname>
<given-names><![CDATA[R. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Eskofier]]></surname>
<given-names><![CDATA[B. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Duarte]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferber]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Support vector machines for detecting age-related changes in running kinematics]]></article-title>
<source><![CDATA[J. Biomech.]]></source>
<year>2011</year>
<volume>44</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>540-2</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>[33]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[López-Pabón]]></surname>
<given-names><![CDATA[F. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Arias-Vergara]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Orozco-Arroyave]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cepstral Analysis and Hilbert-Huang Transform for Automatic Detection of Parkinson&#8217;s Disease]]></article-title>
<source><![CDATA[TecnoLógicas]]></source>
<year>2020</year>
<volume>23</volume>
<numero>47</numero>
<issue>47</issue>
<page-range>93-108</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>[34]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Blanco-Díaz]]></surname>
<given-names><![CDATA[C. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Quitian-González]]></surname>
<given-names><![CDATA[A. K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Análisis biomecánico del ejercicio sentadilla libre en sujetos sin acondicionamiento físico]]></article-title>
<source><![CDATA[Rev. Ontare]]></source>
<year>2018</year>
<volume>6</volume>
</nlm-citation>
</ref>
<ref id="B35">
<label>[35]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baker]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ISB recommendation on definition of joint coordinate systems for the reporting of human joint motion-part I: ankle, hip and spine]]></article-title>
<source><![CDATA[J. Biomech.]]></source>
<year>2003</year>
<volume>36</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>300-2</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[Glazier]]></surname>
<given-names><![CDATA[P. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Paradisis]]></surname>
<given-names><![CDATA[G. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Cooper]]></surname>
<given-names><![CDATA[S-M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Anthropometric and kinematic influences on release speed in men&#8217;s fast-medium bowling]]></article-title>
<source><![CDATA[J. Sports Sci.]]></source>
<year>2000</year>
<volume>18</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>1013-21</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[Contini]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Drillis]]></surname>
<given-names><![CDATA[R. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Bluestein]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Determination of Body Segment Parameters]]></article-title>
<source><![CDATA[Hum. Factors J. Hum. Factors Ergon. Soc.]]></source>
<year>1963</year>
<volume>5</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>493-504</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
