Pro-Athlete: A guide system for visually impaired athletes in Olympic track race

André Machado; Celso Carvalho

doi:10.5935/jetia.v7i28.746

Autores/as

André Machado Programa de Posgrado en Ingeniería Eléctrica (PPGEE), Universidad Federal de Amazonas (UFAM), Manaus, Amazonas, Brasil http://orcid.org/0000-0002-3057-6356 (no autenticado)
Celso Carvalho Programa de Posgrado en Ingeniería Eléctrica (PPGEE), Universidad Federal de Amazonas (UFAM), Manaus, Amazonas, Brasil http://orcid.org/0000-0002-7378-8893 (no autenticado)

DOI:

https://doi.org/10.5935/jetia.v7i28.746

Resumen

Las tecnologías asistenciales pueden mejorar la calidad de vida de las personas con necesidades especiales, proporcionando autonomía en sus actividades diarias. Aparece una oportunidad de mejora en la carrera de atletismo en pista para invidentes, donde actualmente el atleta discapacitado no tiene autonomía y corre atado con una cuerda a un guía y puede tener varios problemas de descalificación y reducción de rendimiento debido a la necesaria sincronización entre atleta y guía. En este contexto, en este artículo desarrollamos un prototipo de hardware y software equipado con comunicación inalámbrica y un código de lenguaje que utiliza estímulos vibratorios para generar comandos que guían al atleta con discapacidad visual en la carrera olímpica en pista. El prototipo fue probado en carreras atléticas simuladas, mostrando buenos resultados, con comandos y estímulos bien entendidos e interpretados por atletas con discapacidad visual.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

D. Ferreira, R. Souza, and C. Carvalho. QA-kNN: “Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks”. Sensors, v. 20, n. 17, pp. 4714, Aug. 2020. DOI:10.3390/s20174714.

D. Ferreira, and C. Carvalho. “Localization in Indoor Environments Using Virtualized Three-Dimensional Matrix”. ITEGAM-Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA), v. 5, n. 18, p. 120-127, Jun. 2019. https://dx.doi.org/10.5935/2447-0228.20190037.

T. De Souza, G. Rodrigues, L. Serrão, R. Macambira, and C. Carvalho. “Residential Smart Plug with Bluetooth Communication”. ITEGAM-JETIA, v. 6, n. 21, pp. 20-30. Feb. 2020. https://dx.doi.org/10.5935/2447-0228.20200003.

M. Pieralisi, V. Di Mattia, V. Petrini, A. De Leo, G. Manfredi, P. Russo, L. Scalise, and G. Cerri. “An electromagnetic sensor for the autonomous running of visually impaired and blind athletes (Part I: The fixed infrastructure)”. Sensors, v. 17, n. 2, pp. 364, Feb. 2017. DOI: 10.3390/s17020364.

O. Metatla, A. Oldfield, T. Ahmed, A. Vafeas, and S. Miglani. “Voice user interfaces in schools: Co-designing for inclusion with visually-impaired and sighted pupils”. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. pp. 1-15. May. 2019. https://doi.org/10.1145/3290605.3300608.

T. S. Filgueiras, A. C. O. Lima, R. L. Baima, G. T. R. Oka, L. A. Q. Cordovil, and M. P. Bastos. “Vibrotactile sensory substitution on personal navigation: Remotely controlled vibrotactile feedback wearable system to aid visually impaired”. In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA) pp. 1-5. May. 2016. DOI: 10.1109/MeMeA.2016.7533768.

H. C. Council. “Supporting Children with Sensory Impairment”. Routledge, 2016. https://doi.org/10.4324/9781315687940.

P. B. Shull, B. Peter, D. Damian. “Haptic wearables as sensory replacement, sensory augmentation and trainer–a review”. Journal of neuroengineering and rehabilitation, v. 12, n. 1, pp. 1-13, Jul. 2015. DOI:10.1186/s12984-015-0055-z.

J. Dammeyer, C. Lehane, M. Marschark. “Use of technological aids and interpretation services among children and adults with hearing loss”. International journal of audiology, v. 56, n. 10, pp. 740-748, May. 2017. DOI: 10.1080/14992027.2017.1325970.

A. S. Shahriman, M. A. Wahid, S. M. Saad, M. Z. Zain, M. Hussein, Z. Ahmad, M. S. Yaacob, M. Y. Abdullah, and M. Mohamad. “Improving design of piezoelectric braille cell for Braille display devices”. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), v. 10, n. 1-14, pp. 107-111, 2018.

A. Carrera, A. Alonso, R. De la Rosa, and E. J. Abril. “Sensing performance of a vibrotactile glove for deaf-blind people”. Applied Sciences, v. 7, n. 4, pp. 317, Mar. 2017. https://doi.org/10.3390/app7040317.

M. Richardson, J. Thar, J. Alvarez, J. Borchers, J. Ward, and G. Hamilton-Fletcher. “How much spatial information is lost in the sensory substitution process? Comparing visual, tactile, and auditory approaches”. Perception, v. 48, n. 11, pp. 1079-1103, Sep. 2019. https://doi.org/10.1177/0301006619873194.

A. Vasquez-Rosati, C. Cordero-Homad. “Proprioceptive Perception: An Emergence of the Interaction of Body and Language”. In: Proprioception. IntechOpen, jan. 2021.

E. G. Boring. “Sensation and perception in the history of experimental psychology”. Appleton-Century, 1942. DOI: 10.5772/intechopen.95461.

K. Aqeel, U. Naveed, F. Fatima, F. Haq, M. Arshad, A. Abbas, M. Nabeel and, M. Khurram. “Skin Stroking Haptic Feedback Glove for Assisting Blinds in Navigation”. In: 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). p. 177-182. Dec. 2017. DOI: 10.1109/ROBIO.2017.8324414.

M. Al Zayer, S. Tregillus, J. Bhandari, D. Feil-Seifer, E. Folmer. “Exploring the use of a drone to guide blind runners”. In: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. pp. 263-264. Oct. 2016. https://doi.org/10.1145/2982142.2982204.

M. Pieralisi, V. Petrini, V. Di Mattia, G. Manfredi, A. De Leo, L. Scalise, P. Russo, and G. Cerri. “Design and realization of an electromagnetic guiding system for blind running athletes”. Sensors, v. 15, n. 7, p. 16466-16483, Jul. 2015. https://doi.org/10.3390/s150716466.

NodeMCU Documentation. Available online: https://nodemcu.readthedocs.io/en/master (accessed on 14 February 2020).