Abstract
The emergence of new devices that allow tracking body movements, such as Microsoft Kinect, has motivated the creation of different rehabilitation systems that allow people with disabilities to improve and recover some lost physical or cognitive capabilities. In general, the use of Kinect sensors to control the patient’s movements is the most common solution. In this case, the use of visual capabilities is needed because the patient must recognise the meaning and the objective’s location using the visual channel. Thus, current proposals based on Kinect are not useful for visually impaired people and must be adapted through replacing or enhancing the visual information with other stimuli that can be perceived by people with this disability. In this paper, we introduce an adaptation of a previous proposal including some vibrotactile stimuli that allow visually impaired people to determine the type (meaning) and the location of a specific object, allowing them to carry out a series of rehabilitation exercises.
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Ballesteros, S., Kraft, E., Santana, S., Tziraki, C.: Maintaining older brain functionality: a targeted review. Neurosci. Biobehav. Rev. 55, 453–477 (2015)
Bark, K., Hyman, E., Tan, F., Cha, E., Jax, S.A., Buxbaum, L.J., Kuchenbecker, K.J.: Effects of vibrotactile feedback on human learning of arm motions. IEEE Trans. Neural Syst. Rehabil. Eng. 23(1), 51–63 (2015)
Desai, K., Bahirat, K., Ramalingam, S., Prabhakaran, B., Annaswamy, T., Makris, U.E.: Augmented reality-based exergames for rehabilitation. In: Proceedings of the 7th International Conference on Multimedia Systems, p. 22. ACM (2016)
González, C.S., Toledo, P., Padrón, M., Santos, E., Cairos, M.: Tango: H: creating active educational games for hospitalized children. In: Management Intelligent Systems, pp. 135–142. Springer (2013)
Kapur, P., Jensen, M., Buxbaum, L.J., Jax, S.A., Kuchenbecker, K.J.: Spatially distributed tactile feedback for kinesthetic motion guidance. In: Haptics Symposium, 2010 IEEE, pp. 519–526. IEEE (2010)
Lee, B.C., Chen, S., Sienko, K.H.: A wearable device for real-time motion error detection and vibrotactile instructional cuing. IEEE Trans. Neural Syst. Rehabil. Eng. 19(4), 374–381 (2011)
Martínez, J., García, A.S., Oliver, M., Molina, J.P., González, P.: Vitaki: a vibrotactile prototyping toolkit for virtual reality and video games. Int. J. Hum.-Comput. Interact. 30(11), 855–871 (2014)
Montero, F., López-Jaquero, V., Navarro, E., Sánchez, E.: Computer-aided relearning activity patterns for people with acquired brain injury. Comput. Edu. 57(1), 1149–1159 (2011)
Oliver, M., González, P., Montero, F., Molina, J.P., Fernández-Caballero, A.: Smart computer-assisted cognitive rehabilitation for the ageing population. In: Ambient Intelligence-Software and Applications—7th International Symposium on Ambient Intelligence (ISAmI 2016), pp. 197–205. Springer (2016)
Rajanna, V., Vo, P., Barth, J., Mjelde, M., Grey, T., Oduola, C., Hammond, T.: Kinohaptics: an automated, wearable, haptic assisted, physio-therapeutic system for post-surgery rehabilitation and self-care. J. Med. Syst. 40(3), 60 (2016)
Rodríguez, A.C., Roda, C., Montero, F., González, P., Navarro, E.: An interactive fuzzy inference system for teletherapy of older people. Cogn. Comput. 8(2), 318–335 (2016)
Sadihov, D., Migge, B., Gassert, R., Kim, Y.: Prototype of a vr upper-limb rehabilitation system enhanced with motion-based tactile feedback. In: World Haptics Conference (WHC), 2013, pp. 449–454. IEEE (2013)
Smith, S.T., Schoene, D.: The use of exercise-based videogames for training and rehabilitation of physical function in older adults: current practice and guidelines for future research. Aging Health 8(3), 243–252 (2012)
Sáenz-de Urturi, Z., Zapirain, B.G., Zorrilla, A.M.: Kinect-based virtual game for motor and cognitive rehabilitation: a pilot study for older adults. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, pp. 262–265. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2014)
Acknowledgements
This work was partially supported by Spanish Ministerio de Economía y Competitividad (MINECO)/FEDER EU under TIN2016-79100-R grant. Miguel Oliver holds an FPU scholarship (FPU13/03141) from the Spanish Government.
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Oliver, M., García, M., Molina, J.P., Martínez, J., Fernández-Caballero, A., González, P. (2017). Smart Computer-Assisted Cognitive Rehabilitation for Visually Impaired People. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_16
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DOI: https://doi.org/10.1007/978-3-319-61118-1_16
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