Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo

Hay un gran desafío de analizar las variables biomecánicas a ciclistas en campo. Los sistemas como los sensores inerciales que, permiten analizar el movimiento en diferentes ejes, pueden ser portables y hasta más precisos que un sistema de cámaras. Por ello se desarrolló un sistema para el registro...

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Autores:: Uribe Rojas, Santiago

Tipo de recurso:: Trabajo de grado de pregrado

Fecha de publicación:: 2022

Institución:: Universidad Autónoma de Bucaramanga - UNAB

Repositorio:: Repositorio UNAB

Idioma:: spa

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repository_id_str
dc.title.spa.fl_str_mv	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
dc.title.translated.spa.fl_str_mv	Design of a system for recording the position of road cyclists using inertial sensors to enhance sports gesture
title	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
spellingShingle	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo Biomedical engineering Engineering Medical electronics Biological physics Bioengineering Medical instruments and apparatus Medicine Biomedical Clinical engineering Biomechanical variables Cyclists Pedaling Bikes Cycling Prototype development Ingeniería biomédica Ingeniería Biofísica Bioingeniería Medicina Biomédica Bicicletas Ciclismo Desarrollo de prototipos Ingeniería clínica Electrónica médica Instrumentos y aparatos médicos Variables biomecánicas Ciclistas Pedaleo
title_short	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
title_full	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
title_fullStr	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
title_full_unstemmed	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
title_sort	Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivo
dc.creator.fl_str_mv	Uribe Rojas, Santiago
dc.contributor.advisor.none.fl_str_mv	Amado Forero, Lusvin Javier Leguizamo Herrera, Jenaro
dc.contributor.author.none.fl_str_mv	Uribe Rojas, Santiago
dc.contributor.cvlac.spa.fl_str_mv	Amado Forero, Lusvin Javier [0001376723]
dc.contributor.googlescholar.spa.fl_str_mv	Amado Forero, Lusvin Javier [dqrfjJMAAAAJ]
dc.contributor.orcid.spa.fl_str_mv	Amado Forero, Lusvin Javier [0000-0001-5104-9080]
dc.contributor.scopus.spa.fl_str_mv	Amado Forero, Lusvin Javier [57204652964]
dc.contributor.researchgate.spa.fl_str_mv	Amado Forero, Lusvin Javier [Lusvin_Amado]
dc.subject.keywords.spa.fl_str_mv	Biomedical engineering Engineering Medical electronics Biological physics Bioengineering Medical instruments and apparatus Medicine Biomedical Clinical engineering Biomechanical variables Cyclists Pedaling Bikes Cycling Prototype development
topic	Biomedical engineering Engineering Medical electronics Biological physics Bioengineering Medical instruments and apparatus Medicine Biomedical Clinical engineering Biomechanical variables Cyclists Pedaling Bikes Cycling Prototype development Ingeniería biomédica Ingeniería Biofísica Bioingeniería Medicina Biomédica Bicicletas Ciclismo Desarrollo de prototipos Ingeniería clínica Electrónica médica Instrumentos y aparatos médicos Variables biomecánicas Ciclistas Pedaleo
dc.subject.lemb.spa.fl_str_mv	Ingeniería biomédica Ingeniería Biofísica Bioingeniería Medicina Biomédica Bicicletas Ciclismo Desarrollo de prototipos
dc.subject.proposal.spa.fl_str_mv	Ingeniería clínica Electrónica médica Instrumentos y aparatos médicos Variables biomecánicas Ciclistas Pedaleo
description	Hay un gran desafío de analizar las variables biomecánicas a ciclistas en campo. Los sistemas como los sensores inerciales que, permiten analizar el movimiento en diferentes ejes, pueden ser portables y hasta más precisos que un sistema de cámaras. Por ello se desarrolló un sistema para el registro de la posición de los ciclistas en ruta usando sensores inerciales para potenciar el gesto deportivo. Se realizó una prueba experimental para verificar la funcionalidad del sistema a diferentes cadencias y posiciones del ciclista. Un ciclista sobre un simulador realizó dos pruebas pedaleando a diferentes cadencias, una de 60 rpm y la otra de 80 rpm. También se pedaleó a diferentes posiciones, 3 cm arriba de la altura base y 3 cm debajo de la altura base. Cuando se modifica la posición base del ciclista, los valores como la rotación de cadera y movimiento del talón cambian. Por ello, el sistema desarrollado identifica y permite analizar cambios de posición de los ciclistas de ruta.
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-09-16T15:51:36Z
dc.date.available.none.fl_str_mv	2022-09-16T15:51:36Z
dc.date.issued.none.fl_str_mv	2022
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/bachelorThesis
dc.type.local.spa.fl_str_mv	Trabajo de Grado
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dc.type.hasversion.none.fl_str_mv	info:eu-repo/semantics/acceptedVersion
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format	http://purl.org/coar/resource_type/c_7a1f
status_str	acceptedVersion
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dc.identifier.instname.spa.fl_str_mv	instname:Universidad Autónoma de Bucaramanga - UNAB
dc.identifier.reponame.spa.fl_str_mv	reponame:Repositorio Institucional UNAB
dc.identifier.repourl.spa.fl_str_mv	repourl:https://repository.unab.edu.co
url	http://hdl.handle.net/20.500.12749/17711
identifier_str_mv	instname:Universidad Autónoma de Bucaramanga - UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co
dc.language.iso.spa.fl_str_mv	spa
language	spa
dc.relation.references.spa.fl_str_mv	Allen, H. & Group, P. C. (2015, November 25,). Balance: An introduction to left/right power data. Retrieved from https://www.hunterallenpowerblog.com/2015/11/balance-introduction-to leftright-power.html Adafruit BNO055 Absolute Orientation Sensor. (2015, 22 abril). Adafruit Learning System. https://learn.adafruit.com/adafruit-bno055-absolute-orientation-sensor Adam Hansen Bike Fitting Protocol webinar. (2020, 31 enero). YouTube. https://www.youtube.com/watch?v=mt9zFVQHiSo&ab_channel=LEOMO Arduino Nano. (s. f.). Arduino. Recuperado 7 de enero de 2021, de https://arduino.cl/arduino nano/ Bini, R. R., Dagnese, F., Rocha, E., Silveira, M. C., Carpes, F. P., & Mota, C. B. (2016). Three-dimensional kinematics of competitive and recreational cyclists across different workloads during cycling. European Journal of Sport Science, 16(5), 553-559. doi:10.1080/17461391.2015.1135984 Bini, R. R., Tamborindeguy, A. C., & Mota, C. B. (2010). Effects of saddle height, pedaling cadence, and workload on joint kinetics and kinematics during cycling. Journal of Sport Rehabilitation, 19(3), 301-314.doi:10.1123/jsr.19.3.301 Bini, R. R., & Carpes, F. P. (2014). Biomechanics of cycling (2014th ed.). Cham: Springer Verlag. doi:10.1007/978-3-319-05539-8 Retrieved from https://ebookcentral.proquest.com/lib/[SITE_ID]/detail.action?docID=1731058 Burt, P. (2014). BikeFit, Optimise your bike position for high performance and injury avoidance, UK, Bloomsbury Sport. Cain, Stephen. (2016). Measurement of bicycle and rider kinematics during real-world cycling using a wireless array of inertial sensors Figshare. doi:10.6084/M9.FIGSHARE.3851883.V2 Cockcroft, J. (2011). An evaluation of inertial motion capture technology for use in the analysis and optimization of road cycling kinematics. Engineering Cockcroft, J., Muller, J. H., & Scheffer, C. (2014). A novel complementary filter for tracking hip angles during cycling using wireless inertial sensors and dynamic acceleration estimation. IEEE Sensors Journal, 14(8), 2864-2871. doi:10.1109/JSEN.2014.2318897 Cockcroft, J., H. Muller, & C. Scheffer. (2015). A complementary filter for tracking bicycle crank angles using inertial sensors, kinematic constraints, and vertical acceleration updates doi:10.1109/JSEN.2015.2409314 Cordillet, S., Bideau, N., Bideau, B., & Nicolas, G. (2019). Estimation of 3D knee joint angles during cycling using inertial sensors: Accuracy of a novel sensor-to-sgment calibration procedure based on pedaling motion. Sensors (Basel, Switzerland), 19(11), 2474. doi:10.3390/s19112474 Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: A systematic review. Sports Medicine, 43(10), 1025-1042. doi:10.1007/s40279-013-0069-2 Cramblett C,Moen E, Timmerman M, et al.Medicine of cycling bike fit task force consensus statement. Medicine of Cycling. 2013. [cited 2019 October 22]. Available from: https://www.medicineofcycling.com/finalmocpositionstatement8-21/. Davis, R. R., & Hull, M. L. (1981). Measurement of pedal loading in bicycling: II. analysis and results. Journal of Biomechanics, 14(12), 857-872. doi:10.1016/0021 9290(81)90013-0 Dorel, S., Couturier, A., & Hug, F. (2008). Intra-session repeatability of lower limb muscles activation pattern during pedaling. Journal of Electromyography and Kinesiology: Official Journal of the International Society of Electrophysiological Kinesiology, 18(5), 857-865. doi:10.1016/j.jelekin.2007.03.002 Gharghan, S.K.; Nordin, R.; Ismail, M. An Ultra-Low Power Wireless Sensor Network for Bicycle Torque Performance Measurements. Sensors 2015, 15, 11741-11768. https://doi.org/10.3390/s150511741 García-López, J., Díez-Leal, S., Ogueta-Alday, A., Larrazabal, J., & amp; Rodríguez-Marroyo, J. A. (2016). Differences in pedalling technique between road cyclists of different competitive levels. Journal of Sports Sciences, 34(17), 1619-1626. doi:10.1080/02640414.2015.1127987 García-Rubio, J., Pino, J., Olivares, P. R., & Ibáñez, S. J. (2019). Validity and reliability of the WIMU ™ inertial device for the assessment of joint angulations. International Journal of Environmental Research and Public Health, 17(1) doi:10.3390/ijerph17010193 Gómez-Carmona, C. D., Pino-Ortega, J., & Ibáñez, S. J. (2020). Design and validity of a field test battery for assessing multi-location external load profile in invasion team sports. Journal Sports Science. Recuperado de http://www.e balonmano.com/ojs/index.php/revista/article/view/509 Gregersen, C. S., & Hull, M. L. (2003). Non-driving intersegmental knee moments in cycling computed using a model that includes three-dimensional kinematics of the shank/foot and the effect of simplifying assumptions. Journal of Biomechanics, 36(6), 803-813. doi:10.1016/s0021-9290(03)00014-9 Gregor, R. J., Broker, J. P., & Ryan, M. M. (1991). The biomechanics of cycling. Exercise and Sport Sciences Reviews, 19, 127-169. Groot, G. D., Welbergen, E., Clusen, L. Clarus, J., Cabri, J., & amp; Antonis, J. (1994). Power, muscular work, and external forces in cycling. Ergonomics, 37(1), 31-42. doi:10.1080/00140139408963620 Jenaro Sport. (s. f.). Bike Fit [Fotografia]. ¿Qué es el Bike Fit? https://jenarosport.com/bike fit.php Johnston, William. Martin O’Reilly, Rob Argent & Brian Caulfield. (2019). Reliability, validity and utility of inertial sensor systems for postural control assessment in sport science and medicine applications: A systematic review [Abstract]. Sport Medicine, Retrieved from https://link.springer.com/article/10.1007/s40279-019-01095-9 Leomo. (2017). Using LEOMO type-R to analyze performance — A case study. Retrieved from https://blog.leomo.io/using-leomo-type-r-to-analyze-performance-a-case-study-part-2 ca5e46e1face Leomo. (s. f.). Leomo Cycling [Fotografia]. https://www.leomo.io/pages/cycling Llamas. (2020, 2 mayo). El bus I2C en Arduino. Luis Llamas. https://www.luisllamas.es/arduino-i2c/ McGrath, T., Fineman, R., & Stirling, L. (2018). An auto-calibrating knee flexion extension axis estimator using principal component analysis with inertial sensors. Sensors (Basel, Switzerland), 18(6) doi:10.3390/s18061882 Mellion, M. B. (1991). Common cycling injuries. Sports Med, 11, 50-70 Muyor, J. M., Granero-Gil, P., & Pino-Ortega, J. (2017). Reliability and validity of a new accelerometer (wimu®) system for measuring velocity during resistance exercises: Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, doi:10.1177/1754337117731700 Peveler, W., & Green, J. (2011). Effects of saddle height on economy and anaerobic power in well-trained cyclists. Journal of Strength and Conditioning Research, 25(3), 629-633. doi:10.1519/JSC.0b013e3181d09e60 Rannama, Indrek. Kirsti Pedak, Karmen Reinpõld, Kristjan Port. (2016). Pedalling technique and postural stability during incremental cycling exercise – relationship with cyclist fmstm score. Lase Journal of Sport Science RealTrack Systems. (2014). Cycling: Discovering brand new horizons with wimu and moxy \| RealTrack systems. Retrieved from http://blog.realtracksystems.com/2014/09/11/cycling dicovering-brand-new- horizons-with-wimu-and-moxy/ Rodríguez Munca, J. D. (2016). dispositivo lora de comunicación a largo alcance y bajo consumo energético para aplicaciones del ámbito del desarrollo. Universidad Politécnica de Madrid. Retrieved from https://oa.upm.es/44890/1/TFM_JOSE_DANIEL_RODRIGUEZ_MUNCA.pdf Sabatini, A. M. (2011). Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing. Sensors (Basel, Switzerland), 11(2), 1489-1525. doi:10.3390/s110201489 Sanner, W. H., & O'Halloran, W. D. (2000). The biomechanics, etiology, and treatment of cycling injuries. Journal of the American Podiatric Medical Association, 90(7), 354-376. doi:10.7547/87507315-90-7-354 Sensor inercial o Sensor IMU Ingeniería Mecafenix. (2018, 23 julio). [Ilustración]. https://www.ingmecafenix.com/automatizacion/sensores/sensor-inercial/ STT Systems. (2018). Cycling 3DMA [Ilustración]. https://www.stt-systems.com/motion analysis/3d-optical-motion-capture/cycling-3dma/?cn-reloaded=1 Swart, J., & Holliday, W. (2019). Cycling biomechanics optimization-the (R) evolution of bicycle fitting. Current Sports Medicine Reports, 18(12), 490-496. doi:10.1249/JSR.0000000000000665 Tan, H., Wilson, A. M., & Lowe, J. (2008). Measurement of stride parameters using a wearable GPS and inertial measurement unit. Journal of Biomechanics, 41(7), 1398 1406. doi:10.1016/j.jbiomech.2008.02.021 Theurel, J., Crepin, M., Foissac, M., & Temprado, J. J. (2012). Effects of different pedalling techniques on muscle fatigue and mechanical efficiency during prolonged cycling. Scandinavian Journal of Medicine & Science in Sports, 22(6), 714-721. doi:10.1111/j.1600-0838.2011.01313.x The I2C Bus Specification (version 2.1, January 2000) URL http://www.semiconductors.philips.com/acrobat/literature/9398/39340011.pdf Toapanta, C., Villafuerte, J., & Cruz, P. J. (Oct 2018). 3DoF multi-rotor experimental testbed for teaching control systems. Paper presented at the 1-6. doi:10.1109/ETCM.2018.8580337 Retrieved from https://ieeexplore.ieee.org/document/8580337 Townsend, K. (2015). Adafruit BNO055 absolute orientation sensor. Retrieved from https://learn.adafruit.com/adafruit-bno055-absolute-orientation-sensor/overview Wanich, T., Hodgkins, C., Columbier, J., Muraski, E., & Kennedy, J. G. (2007). Cycling injuries of the lower extremity. The Journal of the American Academy of Orthopaedic Surgeons, 15(12), 748-756. doi:10.5435/00124635-200712000-00008 Wiva. Inertial system for cycling performance analysis. (2020, mayo 7). Recuperado de http://www.e-wiva.com/wiva_cycle.html Xu, J. Y. X. Nan, V. Ebken, Y. Wang, G. J. Pottie, & W. J. Kaiser. (2015). Integrated inertial sensors and mobile computing for real-time cycling performance guidance via pedaling profile classification doi:10.1109/JBHI.2014.2322871
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dc.publisher.faculty.spa.fl_str_mv	Facultad Ingeniería
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spelling	Amado Forero, Lusvin Javier5b8ff26f-ab75-458c-8567-50557c0077e4Leguizamo Herrera, Jenaro3c73b217-82d3-4c14-9d3a-643388000b91Uribe Rojas, Santiago358fdb80-f71d-43b2-ba1e-66ed951e185aAmado Forero, Lusvin Javier [0001376723]Amado Forero, Lusvin Javier [dqrfjJMAAAAJ]Amado Forero, Lusvin Javier [0000-0001-5104-9080]Amado Forero, Lusvin Javier [57204652964]Amado Forero, Lusvin Javier [Lusvin_Amado]Bucaramanga (Santander, Colombia)2022-09-16T15:51:36Z2022-09-16T15:51:36Z2022http://hdl.handle.net/20.500.12749/17711instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coHay un gran desafío de analizar las variables biomecánicas a ciclistas en campo. Los sistemas como los sensores inerciales que, permiten analizar el movimiento en diferentes ejes, pueden ser portables y hasta más precisos que un sistema de cámaras. Por ello se desarrolló un sistema para el registro de la posición de los ciclistas en ruta usando sensores inerciales para potenciar el gesto deportivo. Se realizó una prueba experimental para verificar la funcionalidad del sistema a diferentes cadencias y posiciones del ciclista. Un ciclista sobre un simulador realizó dos pruebas pedaleando a diferentes cadencias, una de 60 rpm y la otra de 80 rpm. También se pedaleó a diferentes posiciones, 3 cm arriba de la altura base y 3 cm debajo de la altura base. Cuando se modifica la posición base del ciclista, los valores como la rotación de cadera y movimiento del talón cambian. Por ello, el sistema desarrollado identifica y permite analizar cambios de posición de los ciclistas de ruta.CAPÍTULO 1 .................................................................................................................... 10 Problema u Oportunidad ............................................................................................... 10 Pregunta problema ........................................................................................................ 11 Justificación................................................................................................................... 11 Objetivo general ............................................................................................................ 12 Objetivos específicos .................................................................................................... 12 Limitaciones y delimitaciones....................................................................................... 13 CAPÍTULO 2 .................................................................................................................... 14 Marco Conceptual ......................................................................................................... 14 Estado del arte ............................................................................................................... 18 Capítulo 3 .......................................................................................................................... 24 Metodología .................................................................................................................. 24 Diseño y construcción del sistema ............................................................................ 25 Desarrollo del software ............................................................................................. 26 Protocolo experimental y registro de datos ............................................................... 26 Capítulo 4 .......................................................................................................................... 27 Resultados ..................................................................................................................... 27 Diseño y construcción las placas............................................................................... 27 Desarrollo del software ............................................................................................. 38 Protocolo experimental y registro de datos ............................................................... 44 Análisis de resultados .................................................................................................... 48 Capítulo 5 .......................................................................................................................... 55 Conclusiones ................................................................................................................. 55 Bibliografía ....................................................................................................................... 56 Anexos............................................................................................................................... 64PregradoThere is a great challenge to analyze the biomechanical variables of cyclists in the field. Systems such as inertial sensors, which allow to analyze the movement in different axes, can be portable and even more accurate than a camera system. Therefore, a system was developed to record the position of cyclists on the road using inertial sensors to enhance the sporting gesture. An experimental test was carried out to verify the functionality of the system at different cadences and positions of the cyclist. A cyclist on a simulator performed two tests pedaling at different cadences, one at 60 rpm and the other at 80 rpm. They also pedaled at different positions, 3 cm above the base height and 3 cm below the base height. When the base position of the cyclist is modified, values such as hip rotation and heel movement change. Therefore, the developed system identifies and allows to analyze position changes of road cyclists.application/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Diseño de un sistema para el registro de la posición de los ciclistas de ruta usando sensores inerciales para potenciar el gesto deportivoDesign of a system for recording the position of road cyclists using inertial sensors to enhance sports gestureIngeniero BiomédicoUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería Biomédicainfo:eu-repo/semantics/bachelorThesisTrabajo de Gradohttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/acceptedVersionhttp://purl.org/redcol/resource_type/TPBiomedical engineeringEngineeringMedical electronicsBiological physicsBioengineeringMedical instruments and apparatusMedicineBiomedicalClinical engineeringBiomechanical variablesCyclistsPedalingBikesCyclingPrototype developmentIngeniería biomédicaIngenieríaBiofísicaBioingenieríaMedicinaBiomédicaBicicletasCiclismoDesarrollo de prototiposIngeniería clínicaElectrónica médicaInstrumentos y aparatos médicosVariables biomecánicasCiclistasPedaleoAllen, H. & Group, P. C. (2015, November 25,). Balance: An introduction to left/right power data. Retrieved from https://www.hunterallenpowerblog.com/2015/11/balance-introduction-to leftright-power.htmlAdafruit BNO055 Absolute Orientation Sensor. (2015, 22 abril). Adafruit Learning System. https://learn.adafruit.com/adafruit-bno055-absolute-orientation-sensorAdam Hansen Bike Fitting Protocol webinar. (2020, 31 enero). YouTube. https://www.youtube.com/watch?v=mt9zFVQHiSo&ab_channel=LEOMOArduino Nano. (s. f.). Arduino. Recuperado 7 de enero de 2021, de https://arduino.cl/arduino nano/Bini, R. R., Dagnese, F., Rocha, E., Silveira, M. C., Carpes, F. P., & Mota, C. B. (2016). Three-dimensional kinematics of competitive and recreational cyclists across different workloads during cycling. European Journal of Sport Science, 16(5), 553-559. doi:10.1080/17461391.2015.1135984Bini, R. R., Tamborindeguy, A. C., & Mota, C. B. (2010). Effects of saddle height, pedaling cadence, and workload on joint kinetics and kinematics during cycling. Journal of Sport Rehabilitation, 19(3), 301-314.doi:10.1123/jsr.19.3.301Bini, R. R., & Carpes, F. P. (2014). Biomechanics of cycling (2014th ed.). Cham: Springer Verlag. doi:10.1007/978-3-319-05539-8 Retrieved from https://ebookcentral.proquest.com/lib/[SITE_ID]/detail.action?docID=1731058Burt, P. (2014). BikeFit, Optimise your bike position for high performance and injury avoidance, UK, Bloomsbury Sport. Cain, Stephen. (2016). Measurement of bicycle and rider kinematics during real-world cycling using a wireless array of inertial sensors Figshare. doi:10.6084/M9.FIGSHARE.3851883.V2Cockcroft, J. (2011). An evaluation of inertial motion capture technology for use in the analysis and optimization of road cycling kinematics. EngineeringCockcroft, J., Muller, J. H., & Scheffer, C. (2014). 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Integrated inertial sensors and mobile computing for real-time cycling performance guidance via pedaling profile classification doi:10.1109/JBHI.2014.2322871ORIGINAL2022_Tesis_Santiago_Uribe_Rojas.pdf2022_Tesis_Santiago_Uribe_Rojas.pdfTesisapplication/pdf4333090https://repository.unab.edu.co/bitstream/20.500.12749/17711/1/2022_Tesis_Santiago_Uribe_Rojas.pdfcb14b03165ce8d226b296a054f2755e4MD51open access2022_Licencia_Santiago_Uribe_Rojas.pdf2022_Licencia_Santiago_Uribe_Rojas.pdfLicenciaapplication/pdf813268https://repository.unab.edu.co/bitstream/20.500.12749/17711/2/2022_Licencia_Santiago_Uribe_Rojas.pdf35c9af327ebb7976d5ca2861a1478837MD52metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8829https://repository.unab.edu.co/bitstream/20.500.12749/17711/3/license.txt3755c0cfdb77e29f2b9125d7a45dd316MD53open accessTHUMBNAIL2022_Tesis_Santiago_Uribe_Rojas.pdf.jpg2022_Tesis_Santiago_Uribe_Rojas.pdf.jpgIM Thumbnailimage/jpeg5293https://repository.unab.edu.co/bitstream/20.500.12749/17711/4/2022_Tesis_Santiago_Uribe_Rojas.pdf.jpgb7059174d789f282af3930b8493d5430MD54open access2022_Licencia_Santiago_Uribe_Rojas.pdf.jpg2022_Licencia_Santiago_Uribe_Rojas.pdf.jpgIM Thumbnailimage/jpeg10106https://repository.unab.edu.co/bitstream/20.500.12749/17711/5/2022_Licencia_Santiago_Uribe_Rojas.pdf.jpgf22cb64896ba87f6f26687888249a882MD55metadata only access20.500.12749/17711oai:repository.unab.edu.co:20.500.12749/177112022-09-16 22:01:32.74open accessRepositorio Institucional \| Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.coRUwoTE9TKSBBVVRPUihFUyksIG1hbmlmaWVzdGEobWFuaWZlc3RhbW9zKSBxdWUgbGEgb2JyYSBvYmpldG8gZGUgbGEgcHJlc2VudGUgYXV0b3JpemFjacOzbiBlcyBvcmlnaW5hbCB5IGxhIHJlYWxpesOzIHNpbiB2aW9sYXIgbyB1c3VycGFyIGRlcmVjaG9zIGRlIGF1dG9yIGRlIHRlcmNlcm9zLCBwb3IgbG8gdGFudG8sIGxhIG9icmEgZXMgZGUgZXhjbHVzaXZhIGF1dG9yw61hIHkgdGllbmUgbGEgdGl0dWxhcmlkYWQgc29icmUgbGEgbWlzbWEuCgpFbiBjYXNvIGRlIHByZXNlbnRhcnNlIGN1YWxxdWllciByZWNsYW1hY2nDs24gbyBhY2Npw7NuIHBvciBwYXJ0ZSBkZSB1biB0ZXJjZXJvIGVuIGN1YW50byBhIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBzb2JyZSBsYSBvYnJhIGVuIGN1ZXN0acOzbi4gRWwgQVVUT1IgYXN1bWlyw6EgdG9kYSBsYSByZXNwb25zYWJpbGlkYWQsIHkgc2FsZHLDoSBlbiBkZWZlbnNhIGRlIGxvcyBkZXJlY2hvcyBhcXXDrSBhdXRvcml6YWRvcywgcGFyYSB0b2RvcyBsb3MgZWZlY3RvcyBsYSBVTkFCIGFjdMO6YSBjb21vIHVuIHRlcmNlcm8gZGUgYnVlbmEgZmUuCgpFbCBBVVRPUiBhdXRvcml6YSBhIGxhIFVuaXZlcnNpZGFkIEF1dMOzbm9tYSBkZSBCdWNhcmFtYW5nYSBwYXJhIHF1ZSBlbiBsb3MgdMOpcm1pbm9zIGVzdGFibGVjaWRvcyBlbiBsYSBMZXkgMjMgZGUgMTk4MiwgTGV5IDQ0IGRlIDE5OTMsIERlY2lzacOzbiBBbmRpbmEgMzUxIGRlIDE5OTMgeSBkZW3DoXMgbm9ybWFzIGdlbmVyYWxlcyBzb2JyZSBsYSBtYXRlcmlhLCB1dGlsaWNlIGxhIG9icmEgb2JqZXRvIGRlIGxhIHByZXNlbnRlIGF1dG9yaXphY2nDs24uCg==

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