Modelo de acondicionamiento físico adaptado utilizando Inteligencia Artificial para personas con discapacidad visual
| datacite.rights | http://purl.org/coar/access_right/c_f1cf | |
| dc.contributor.advisor | Sanmartín Mendoza, Paul Adolfo | |
| dc.contributor.author | Pedroza Barrios, Patty | |
| dc.date.accessioned | 2026-02-11T22:55:16Z | |
| dc.date.available | 2026-02-11T22:55:16Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | La inactividad física constituye uno de los principales problemas de salud pública a nivel mundial y afecta de manera particular a las personas con discapacidad visual, quienes presentan mayores niveles de sedentarismo en comparación con la población general. Esta situación no responde únicamente a factores individuales, sino a la existencia de barreras estructurales, sociales y tecnológicas que limitan el acceso a programas de acondicionamiento físico adaptados, personalizados y seguros. A pesar de los avances recientes en tecnologías digitales y de la creciente presencia de la inteligencia artificial en múltiples ámbitos de la vida cotidiana, su aplicación en el contexto del ejercicio físico adaptado para personas con discapacidad visual sigue siendo limitada, fragmentada y poco sistematizada. | spa |
| dc.description.abstract | Physical inactivity is recognized as one of the most significant global public health challenges and disproportionately affects people with visual impairment, who tend to exhibit higher levels of sedentary behavior than the general population. This situation is not solely the result of individual factors, but rather the consequence of structural, social, and technological barriers that limit access to adapted, personalized, and safe physical conditioning programs. Despite recent advances in digital technologies and the widespread adoption of artificial intelligence across multiple domains, its application in adapted physical conditioning for people with visual impairment remains limited, fragmented, and insufficiently systematized. | eng |
| dc.format.mimetype | ||
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/17354 | |
| dc.language.iso | spa | |
| dc.publisher | Ediciones Universidad Simón Bolívar | spa |
| dc.publisher | Facultad de Ingenierías | spa |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | eng |
| dc.rights.accessrights | info:eu-repo/semantics/embargoedAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Inteligencia artificial | spa |
| dc.subject | Acondicionamiento físico adaptado | spa |
| dc.subject | Discapacidad visual | spa |
| dc.subject | Redes neuronales | spa |
| dc.subject | Innovación inclusiva | spa |
| dc.subject | Actividad física | spa |
| dc.subject.keywords | Artificial intelligence | eng |
| dc.subject.keywords | Adapted physical conditioning | eng |
| dc.subject.keywords | Visual impairment | eng |
| dc.subject.keywords | Neural networks | eng |
| dc.subject.keywords | Inclusive innovation | eng |
| dc.subject.keywords | Physical activity | eng |
| dc.title | Modelo de acondicionamiento físico adaptado utilizando Inteligencia Artificial para personas con discapacidad visual | spa |
| dc.type.driver | info:eu-repo/semantics/doctoralThesis | |
| dc.type.spa | Tesis de doctorado | |
| dcterms.references | Adecco, F. (2021). Tecnología y discapacidad. In | spa |
| dcterms.references | Alves, J. H., Felipe, M. E., & de Oliveira, N. M. L. (2022). Exercício físico para deficientes visuais: Uma revisão integrativa dos protocolos de treinamento. Research, Society and Development, 11(14), e94111436060- e94111436060. | spa |
| dcterms.references | Aragón Loza, M. A. (2021). Revisión de la literatura de modelos matemáticos para el tránsito de personas con discapacidad visual a través de rutas accesibles y seguras | spa |
| dcterms.references | Arias-Uribe, J., Llano-Naranjo, Y., Astudillo-Valverde, E., & Suárez-Escudero, J. C. (2018). Caracterización clínica y etiología de baja visión y ceguera en una población adulta con discapacidad visual Clinical characteristics and etiology of low vision and blindness in an adult population with visual impairment. Rev Mex Oftalmol, 92(4), 201-208. | spa |
| dcterms.references | Arora, L., Choudhary, A., Bhatt, M., Kaliappan, J., & Srinivasan, K. (2024). A comprehensive review on NUI, multi-sensory interfaces and UX design for applications and devices for visually impaired users. Frontiers in Public Health, 12, 1357160. | eng |
| dcterms.references | Barraga, N. C. (1992). Desarrollo senso-perceptivo. ICEVH Nº77. Córdova. Argentina. | spa |
| dcterms.references | Botelho, F. H. F. (2021). Childhood and Assistive Technology: Growing with opportunity, developing with technology. Assistive Technology, 33(sup1), 87- 93. | eng |
| dcterms.references | Brons, A., Wang, S., Visser, B., Kröse, B., Bakkes, S., & Veltkamp, R. (2024). Machine learning methods to personalize persuasive strategies in mHealth interventions that promote physical activity: scoping review and categorization overview. Journal of Medical Internet Research, 26, e47774. | eng |
| dcterms.references | Campoverde, O. E. S., Navarro, W. H. B., & Frómeta, E. R. (2022). Mitos en el entrenamiento físico. Dominio de las Ciencias, 8(3), 1935-1955 | spa |
| dcterms.references | Caytuiro-Silva, N. E., Castro-Gutierrez, E. G., & Peña-Alejandro, J. M. (2023). A Systematic Review of Assistive Tools for Individuals with Visual Impairments: Advancements in Assistive Technologies, Internet of Things and Computer Vision. Proceedings http://ceur-ws. org ISSN, 1613, 0073. | eng |
| dcterms.references | Choe, J.-P., Lee, S., & Kang, M. (2025). Machine learning modeling for predicting adherence to physical activity guideline. Scientific Reports, 15(1), 5650 | eng |
| dcterms.references | Clasificación Internacional del Funcionamiento, de la Discapacidad y de la Salud, CIF. (2001). https://apps.who.int/iris/bitstream/handle/10665/43360/9241545445_spa.pdf ;jsessionid=8DE2ACEB87608DDB54EC629F6AF0134C?sequence=1 | spa |
| dcterms.references | Cleland, C., Ferguson, S., Ellis, G., & Hunter, R. F. (2018). Validity of the International Physical Activity Questionnaire (IPAQ) for assessing moderateto-vigorous physical activity and sedentary behaviour of older adults in the United Kingdom. BMC medical research methodology, 18, 1-12. | spa |
| dcterms.references | Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E.,…Sallis, J. F. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & science in sports & exercise, 35(8), 1381-1395 | eng |
| dcterms.references | Cáceres Rodríguez, C. (2021). On the concept of disability. A review of WHO proposals. Auditio, 2(3), 74-77. https://doi.org/10.51445/sja.auditio.vol2.2004.0030 | eng |
| dcterms.references | da Silva, R. B. P., Caputo, E. L., Feter, N., & Reichert, F. F. (2022). Effects of two exercise programs on health-related fitness, quality of life and exercise enjoyment in adults with visual impairment: a randomized crossover trial. BMC Sports Science, Medicine and Rehabilitation, 14(1), 176. https://doi.org/10.1186/s13102-022-00566-3 | eng |
| dcterms.references | Danai Brilli, D., Georgaras, E., Tsilivaki, S., Melanitis, N., & Nikita, K. (2024). AIris: An AI-powered Wearable Assistive Device for the Visually Impaired. arXiv e-prints, arXiv-2405 | eng |
| dcterms.references | De León Ureña, G. Y. (2018). Prototipo para el mejoramiento de la lectura en personas con discapacidad visual y física (Sistema Lupas) | spa |
| dcterms.references | Del Pilar Oviedo-Cáceres, M., Arias-Pineda, K. N., del Rosario YepesCamacho, M., & Falla, P. M. (2021). Pandemia Por Covid-19: Vivencias De Las Personas Con Discapacidad Visual. Invest Educ Enferm, 39, e09. | spa |
| dcterms.references | Dergaa, I., Saad, H. B., El Omri, A., Glenn, J. M., Clark, C. C. T., Washif, J. A.,…Chamari, K. (2024). Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model. Biol Sport, 41(2), 221-241. https://doi.org/10.5114/biolsport.2024.133661 | eng |
| dcterms.references | Ding, X., Tang, J., Zhang, Y., & Yuan, Z. (2020, 2020). Sports Training Model Based on GA Optimized Neural Network. Congreso Internacional de Tecnología de computación inteligente y automatización, Xian, China. | eng |
| dcterms.references | Distefano, G., & Goodpaster, B. H. (2018). Effects of exercise and aging on skeletal muscle. Cold Spring Harbor perspectives in medicine, 8(3), a029785 | eng |
| dcterms.references | Doherty, C., Lambe, R., O’Grady, B., O’Reilly-Morgan, D., Smyth, B., Lawlor, A.,…Tragos, E. (2024). An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial. JMIR Mhealth Uhealth, 12, e49443. https://doi.org/10.2196/49443 | eng |
| dcterms.references | Esatbeyoğlu, F., Karaçoban, L., Akın, Ş., & Dönmez, G. (2022). Exercise programming for individuals with vision loss. Spor Hekimliği Dergisi, 57(4), 213-219. | eng |
| dcterms.references | Feng, J., Hamilton-Fletcher, G., Hudson, T. E., Beheshti, M., Porfiri, M., & Rizzo, J.-R. (2025). Haptics-based, higher-order sensory substitution designed for object negotiation in blindness and low vision: Virtual Whiskers. Disability and Rehabilitation: Assistive Technology, 1-20 | eng |
| dcterms.references | Ferrer-Contrerasa, M. C., Granero-Gallegosa, A., & Ferrer-Contrerasb, M. Revista Andaluza de Medicina del Deporte. | spa |
| dcterms.references | Franco-Sánchez, J. G., Pegueros-Pérez, A., Puig-Hernández, H. R., Mirabent-Amor, D., Figueroa-Cavero, F., Vega-Martínez, G.,…QuiñonesUriostegui, I. (2023). Análisis de componentes principales para la identificación de variables sensibles en la ejecución del gesto motor y desarrollo de una red neuronal artificial como herramienta auxiliar en la clasificación del rendimiento deportivo en taekwondoínes elite de la Ciudad de México. Investigación en Discapacidad, 9(3), 91-101 | spa |
| dcterms.references | García, C. E., & Sánchez, A. S. (2001). Clasificaciones de la OMS sobre discapacidad. Boletín del RPD, 50, 15-30. | spa |
| dcterms.references | Gawlik, K., Zwierzchowska, A., & Rosołek, B. (2019). Effects of Lifestyles of People with Visual Impairments on Cardiometabolic Risk Markers. Journal of Visual Impairment & Blindness, 113(5), 433-442. https://doi.org/10.1177/0145482X19877263 | eng |
| dcterms.references | Group, W. B. (2025). Disability Inclusion. https://www.worldbank.org/en/topic/disability? | eng |
| dcterms.references | Guo, J., Bao, W., Wang, J., Ma, Y., Gao, X., Xiao, G.,…Wu, W. (2023). A comprehensive evaluation framework for deep model robustness. Pattern Recognition, 137, 109308. | eng |
| dcterms.references | Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. The lancet global health, 6(10), e1077-e1086. | eng |
| dcterms.references | Haegele, J. A., Aigner, C. J., & Healy, S. (2019). Physical activity, body mass index, and health status among youth with severe visual impairments aged 13–17 years in the United States. Disability and health journal, 12(1), 24-28. | eng |
| dcterms.references | Haegele, J. A., Famelia, R., & Lee, J. (2017). Health-related quality of life, physical activity, and sedentary behavior of adults with visual impairments. Disability and rehabilitation, 39(22), 2269-2276 | eng |
| dcterms.references | Han, Y., Zhang, L., & Fang, Y. (2022). Multidimensional disability evaluation and confirmatory analysis of older adults in a home-based community in China. Frontiers in Public Health, 10, 899303 | eng |
| dcterms.references | Herrando Garijo, J. (2015). Papel de las TICS en personas con baja visión [info:eu-repo/semantics/masterThesis, Universidad de Valladolid]. http://uvadoc.uva.es/handle/10324/13246 | spa |
| dcterms.references | Imran, H. A. (2022). Khail-net: A shallow convolutional neural network for recognizing sports activities using wearable inertial sensors. IEEE Sensors Letters, 6(9), 1-4 | eng |
| dcterms.references | Isidoro-Cabanas, E., Soto-Rodriguez, F. J., Morales-Rodriguez, F. M., & Perez-Marmol, J. M. (2023). Benefits of adaptive sport on physical and mental quality of life in people with physical disabilities: a meta-analysis | eng |
| dcterms.references | Jacob, U. S., Pillay, J., Johnson, E., Omoya, O., & Adedokun, A. P. (2023). A systematic review of physical activity: Benefits and needs for maintenance of quality of life among adults with intellectual disability. Frontiers in sports and active living, 5, 1184946. | eng |
| dcterms.references | Jiang, C., Kuang, E., & Fan, M. (2025). How can haptic feedback assist people with blind and low vision (BLV): A systematic literature review. ACM Transactions on Accessible Computing, 18(1), 1-57 | eng |
| dcterms.references | Jones, N., & Bartlett, H. (2018). The impact of visual impairment on nutritional status: A systematic review. British Journal of Visual Impairment, 36(1), 17- 30. https://doi.org/10.1177/0264619617730860 | eng |
| dcterms.references | Jubair, H., & Mehenaz, M. (2024). Smartwatch-assisted exercise prescription: utilizing machine learning algorithms for personalized workout recommendations and monitoring: a review. | eng |
| dcterms.references | Kamath, S. S., Khan, O., Choudhary, A., Meyerhoff-Liang, J., Choi, S., & Seo, J. (2025). PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players. arXiv preprint arXiv:2508.02610. | eng |
| dcterms.references | Kathiria, P., Mankad, S. H., Patel, J., Kapadia, M., & Lakdawala, N. (2024). Assistive systems for visually impaired people: A survey on current requirements and advancements. Neurocomputing, 606, 128284. | eng |
| dcterms.references | Kayhan, O., & Samur, E. (2022). A wearable haptic guidance system based on skin stretch around the waist for visually-impaired runners | eng |
| dcterms.references | Kidziński, Ł., Yang, B., Hicks, J. L., Rajagopal, A., Delp, S. L., & Schwartz, M. H. (2020). Deep neural networks enable quantitative movement analysis using single-camera videos. Nature communications, 11(1), 4054. | eng |
| dcterms.references | Kim, Y., Park, I., & Kang, M. (2013). Convergent validity of the international physical activity questionnaire (IPAQ): meta-analysis. Public health nutrition, 16(3), 440-452 | eng |
| dcterms.references | Kozan Cikirikci, E. H., & Esin, M. N. (2025). The impact of machine learning on physical activity-related health outcomes: A systematic review and metaanalysis. Int Nurs Rev, 72(2), e70019. https://doi.org/10.1111/inr.70019 | eng |
| dcterms.references | Kozan Çıkırıkçı, E. H. (2023). Using Machine Learning to Improve Physical Activity: A Systematic Review. European Journal of Public Health, 33(Supplement_2), ckad160-1460. | eng |
| dcterms.references | Kruse, D., Schur, L., Johnson-Marcus, H.-A., Gilbert, L., Di Lallo, A., Gao, W., & Su, H. (2024). Assistive technology’s potential to improve employment of people with disabilities. Journal of occupational rehabilitation, 34(2), 299-315 | eng |
| dcterms.references | Labati, M. L. (2020). Actividad física adaptada y hemodiálisis. | spa |
| dcterms.references | Lee, P. H., Macfarlane, D. J., Lam, T. H., & Stewart, S. M. (2011). Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. International journal of behavioral nutrition and physical activity, 8, 1-11. | eng |
| dcterms.references | Lieberman, L. J., & Haibach, P. S. (2016). Gross Motor Development Curriculum for Children With Visual Impairments An image of the APH logo in white. In: Erişim: https://sites. aph. org/files/manuals/GMDC | eng |
| dcterms.references | López, P. Z., & Perabá, C. M. (2021). Tiflotecnologías para el alumnado con discapacidad visual. ACADEMO Revista de Investigación en Ciencias Sociales y Humanidades, 8(1), 109-118. | spa |
| dcterms.references | Maharana, K., Mondal, S., & Nemade, B. (2022). A review: Data preprocessing and data augmentation techniques. Global Transitions Proceedings, 3(1), 91-99. | eng |
| dcterms.references | Malgaroli, M., Maccallum, F., & Bonanno, G. A. (2022). Machine yearning: How advances in computational methods lead to new insights about reactions to loss. Current Opinion in Psychology, 43, 13-17. | eng |
| dcterms.references | Martin-Lopez, A. (2023). Análisis de las barreras y motivos para la práctica de actividad física y deportiva de personas con discapacidad: diferencias en función del sexo y tipo de discapacidad (Publication Number 121347-915798- 09) Universidad del País Vasco]. ADDI: Archivo Digital Docencia e Investigacion. Recoleta, ADDI: Archivo Digital Docencia e Investigación. http://hdl.handle.net/10810/60830 | spa |
| dcterms.references | Martínez, R., & Itzel, Y. (2019). Intervención fisioterapéutica mediante el acondicionamiento físico en pacientes con sobrepeso de 7 a 19 años atendidos en el Instituto Panameño de Habilitación Especial-Veraguas, septiembre a noviembre 2019 | spa |
| dcterms.references | McKenzie, G., Willis, C., & Shields, N. (2021). Barriers and facilitators of physical activity participation for young people and adults with childhood‐ onset physical disability: a mixed methods systematic review. Developmental Medicine & Child Neurology, 63(8), 914-924 | eng |
| dcterms.references | Movahedi, A., Mojtahedi, H., & Farazyani, F. (2011). Differences in socialization between visually impaired student-athletes and non-athletes. Research in developmental disabilities, 32(1), 58-62 | eng |
| dcterms.references | Munera, S. R., Cosme, S. R., Fernández, J. C., Álvarez, M. J., Restrepo, D. D., Correa, S. A.,…Valencia, L. C. C. (2015). Caracterización de una población con discapacidad visual (baja visión y ceguera) atendida en dos Instituciones Prestadoras de Salud de Medellín. Medicina UPB, 34(1), 30-39 | spa |
| dcterms.references | Nikanfar, S., Hebri, A., Ram Nambiappan, H., Nale, G., Siddiqua, M., Farhanipad, F., & Makedon, F. (2025). A Survey on Assistive Technologies for Visually Impaired Individuals: Recent Innovations, Limitations, and Future Directions. | eng |
| dcterms.references | Olszewska, A., Jackowiak, A., Chwałczyńska, A., & Sobiech, K. A. (2017). Physical activity as the main factor affecting body composition of the visually impaired. Physiotherapy Quarterly, 25(1), 23-28. https://doi.org/10.1515/physio-2017-0002 | eng |
| dcterms.references | OMS, O. M. d. l. S.-. (2020). Informe mundial sobre la visión (O. M. d. l. S.-. OMS, Ed.). Organización Mundial de la Salud - OMS. | spa |
| dcterms.references | Organization, W. H. (2001). Clasificación internacional del funcionamiento de la discapacidad y de la salud: CIF. Organización Mundial de la Salud | spa |
| dcterms.references | Park, S.-W., Lim, D.-H., Kim, J.-H., Kim, S.-H., & Han, Y.-O. (2025). Effectiveness of a Digital Game-Based Physical Activity Program (AI-FIT) on Health-Related Physical Fitness in Elementary School Children. Healthcare, 13, 1327. https://doi.org/https://doi.org/10.3390/healthcare13111327 | eng |
| dcterms.references | Parra D., C. (2020, 18 de diciembre de 2020). Las personas con discapacidad visual siguen siendo invisibles en Colombia [Interview]. | spa |
| dcterms.references | Pinillos Patiño, Y., Herazo-Beltrán, Y., Vidarte Claros, J. A., Crissién Quiroz, E. M., Suárez Palacio, D., García Puello, F.,…Vélez Álvarez, C. (2017). Caracterización de la discapacidad en el distrito de Barranquilla. Una mirada conceptual y experiencial. In: Ediciones Universidad Simón Bolívar | spa |
| dcterms.references | Quinn, R., Murtough, S., de Winton, H., Ellis-Frew, B., Zane, S., De Sousa, J.,…Spiers, A. J. (2024). A shape-changing haptic navigation interface for vision impairment. Scientific Reports, 14(1), 29223. https://doi.org/10.1038/s41598-024-79845-7 | eng |
| dcterms.references | Ricci, F. S., Liguori, L., Palermo, E., Rizzo, J.-R., & Porfiri, M. (2024). Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study. JMIR Rehabilitation and Assistive Technologies, 11(1), e55776. | eng |
| dcterms.references | Rogers, E., Kinnafick, F.-E., & Papathomas, A. (2019). Physical activity in secure settings: a scoping review of methods, theory and practise. Mental Health and Physical Activity, 16, 80-95. | eng |
| dcterms.references | Romero, D. N. P., & Chocontá, J. V. P. (2024). Hábitos y estilo de vida saludable de estudiantes universitarios de programas de deporte en Colombia. Revista Digital: Actividad Física y Deporte, 10(2). | spa |
| dcterms.references | Rosa, J. P. P. (2025). The potential role of artificial intelligence to promote the participation and inclusion in physical exercise and sports for people with disabilities: A narrative review. J Bodyw Mov Ther, 42, 127-131. https://doi.org/10.1016/j.jbmt.2024.12.024 | eng |
| dcterms.references | RøE, C., Preede, L., Dalen, H., Bautz-Holter, E., Nyquist, A., Sandvik, L., & Saebu, M. (2018). Does adapted physical activity-based rehabilitation improve mental and physical functioning? A randomized trial. Eur J Phys Rehabil Med, 54(3), 419-427. | eng |
| dcterms.references | Salari, A., Sahebozamani, M., Daneshjoo, A., Alimoradi, M., Iranmanesh, M., Relph, N., & Mendez-Rebolledo, G. (2025). Effects of an aquatic protocol on electromyography activation and strength of lower limb muscles in blind women: A randomized controlled trial. PLoS One, 20(5), e0322395. | eng |
| dcterms.references | Sañudo Corrales, F. d. B., Sánchez Hernández, J., Bernardo Filho, M., Abdi, E., Taiar, R., & Núñez, J. (2019). Integrative Neuromuscular Training in Young Athletes, Injury Prevention, and Performance Optimization: A Systematic Review. Aplied sciences, 9 (18), 3839-3857. | eng |
| dcterms.references | Seiple, W., van der Aa, H. P. A., Garcia-Piña, F., Greco, I., Roberts, C., & van Nispen, R. (2025). Performance on Activities of Daily Living and User Experience When Using Artificial Intelligence by Individuals With Vision Impairment. Transl Vis Sci Technol, 14(1), 3. https://doi.org/10.1167/tvst.14.1.3 | eng |
| dcterms.references | Strain, T., Flaxman, S., Guthold, R., Semenova, E., Cowan, M., Riley, L. M.,…Stevens, G. A. (2024). National, regional, and global trends in insufficient physical activity among adults from 2000 to 2022: a pooled analysis of 507 population-based surveys with 5· 7 million participants. The Lancet Global Health, 12(8), e1232-e1243. | eng |
| dcterms.references | Sun, Y., Yu, S., Wang, A., Chan, H. C.-K., Ou, A. X., Zhang, D.,…Gao, Y. (2022). Effectiveness of an adapted physical activity intervention on healthrelated physical fitness in adolescents with intellectual disability: a randomized controlled trial. Scientific reports, 12(1), 22583. | eng |
| dcterms.references | Velásquez, F. R. (2018). Evaluación de la condición física y nivel de actividad física en personas ciegas: Revisión narrativa. Universidad del valle | spa |
| dcterms.references | Villaquiran Hurtado, A. F., Ramos, O. A., Jácome, S. J., & Meza Cabrera, M. d. M. (2020). Actividad física y ejercicio en tiempos de COVID-19. CES Medicina, 34, 51-58. https://doi.org/10.21615/cesmedicina.34.COVID-19.6 | spa |
| dcterms.references | Vinuesa Lope, M., & Vinuesa Jiménez, I. (2016). Conceptos y métodos para el entrenamiento físico. In: Ministerio de defensa. | spa |
| dcterms.references | W3C, W. W. W. C.-. (2024). Web Content Accessibility Guidelines (WCAG) 2.2. https://www.w3.org/TR/2024/REC-WCAG22-20241212/ | eng |
| dcterms.references | WHO, W. H. O. (2023). Disability. https://www.who.int/news-room/factsheets/detail/disability-and-health? | eng |
| dcterms.references | WHO, W. H. O. (2024). Physical activity. https://www.who.int/newsroom/fact- sheets/detail/physical-activity | eng |
| dcterms.references | Winnick, J. P., & Porretta, D. L. (2016). Adapted physical education and sport. Human Kinetics. | eng |
| dcterms.references | World Health, O. (2001). Clasificación internacional del funcionamiento de la discapacidad y de la salud: CIF. Organización Mundial de la Salud | spa |
| dcterms.references | Yu, L., & He, Y. (2021). Evaluation of sports training effect based on GABP neural network and artificial intelligence. Journal of Ambient Intelligence and Humanized Computing, 1-11. | eng |
| dcterms.references | Zhang, X., Huang, X., Ding, Y., Long, L., Li, W., & Xu, X. (2024). Advancements in Smart Wearable Mobility Aids for Visual Impairments: A Bibliometric Narrative Review. Sensors, 24(24), 7986 | eng |
| oaire.version | info:eu-repo/semantics/acceptedVersion | |
| sb.investigacion | Convergencia tecnológica | spa |
| sb.programa | Doctorado en Gestión de la Tecnología y la Innovación | spa |
| sb.sede | Sede Barranquilla | spa |
Archivos
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 2.93 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción:

