Abstract
Aikido is a defensive martial art that involves the acquisition of specific motor skills by practicing the techniques over and over with another learner. Most of existing technological support to learn martial arts track learner’s postures or gestures with optical caption techniques and deliver non-personalized visual support about the performance. This paper proposes a sensor-based learning environment that aims to track body and mind interactions when learning Aikido techniques and deliver personalized vibrotactile support when learners’ movements differ from the expected performance.
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References
Schneider, J., Börner, D., van Rosmalen, P., Specht, M.: Augmenting the senses: a review on sensor-based learning support. Sensors 15, 4097–4133 (2015)
Kulik, J.A., Fletcher, J.D.: Effectiveness of intelligent tutoring systems. a meta-analytic review. Rev. Educ. Res. 86(1), 42–78 (2016)
Drachsler, H., Verbert, K., Santos, O.C., Manouselis, N.: Panorama of recommender systems to support learning. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 421–451. Springer, Boston, MA (2015). doi:10.1007/978-1-4899-7637-6_12
Santos, O.C.: Emotions and personality in adaptive e-learning systems: an affective computing perspective. In: Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., Košir, A. (eds.) Emotions and Personality in Personalized Services. HIS, pp. 263–285. Springer, Cham (2016). doi:10.1007/978-3-319-31413-6_13
Santos, O.C.: Training the body: the potential of aied to support personalized motor skills learning. Int. J. Artif. Intell. Educ. 26(2), 730–755 (2016)
Martinez-Maldonado, R., Yacef, K., Dias Pereira Dos Santos, A., Shum, S.B., Echeverria, V., Santos, O.C., Pechenizkiy, M.: Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning. In: ICALT 2017. IEEE Proceedings (2017, accepted)
Santos, O.C.: Toward personalized vibrotactile support when learning motor skills. Algorithms 10(1), 15 (2017)
Santos, O.C.: Education still needs artificial intelligence to support motor skill learning. a case study with Aikido. In: AIED 2015 workshops, CEUR, vol. 1432, no. 4, pp. 72–81 (2015)
Mroczkowski, A.: Using the knowledge of biomechanics in teaching Aikido. In: Goswami, T. (ed.) Injury and Skeletal Biomechanics. Intech, Osaka (2012)
Aikido3D: http://www.aikido3d.com/
Santos, O.C.: Psychomotor learning in martial arts: an opportunity for user modelling, adaptation and personalization. In: UMAP 2017 Adjunct proceedings. ACM (2017, accepted)
Sigrist, R., Rauter, G., Riener, R., Wolf, P.: Augmented visual, auditory, haptic, and multi-modal support in motor learning: a review. Psychon. Bull. Rev. 20, 21–53 (2013)
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, 51–63 (2015)
Alahakone, A.U., Senanayake, S.M.N.A.: Vibrotactile feedback systems: Current trends in rehabilitation, sports and information display. In: Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Singapore, pp. 1148–1153, 14–17 July 2009
Heinz, E.A., Kunze, K.S., Gruber, M., Bannach, D., Lukowicz, P.: Using wearable sensors for real-time recognition tasks in games of martial arts - an initial experiment. In: IEEE Symposium on Computational Intelligence and Games, 2016, pp. 98–102 (2016)
Kunze, K., Barry, M., Heinz, E.A., Lukowicz, P., Majoe, D., Gutknecht, J.: Towards recognizing Tai Chi - an initial experiment using wearable sensors. In: 3rd International Forum on Applied Wearable Computing 2006, pp. 1–6 (2006)
Kwon, D.Y., Gross, M.: Combining body sensors and visual sensors for motion training. In: Proceedings of Advances in Computer Entertainment Technology 2005, pp. 94–101 (2005)
Takahata, M., Shiraki, K., Sakane, Y., Takebayashi, Y.: Sound feedback for powerful karate training. In: Conference on New interfaces for musical expression (NIME 2004), pp. 13–18 (2004)
Portillo-Rodriguez, O., Sandoval-Gonzalez, O.O., Ruffaldi, E., Leonardi, R., Avizzano, C.A., Bergamasco, M.: Real-time gesture recognition, evaluation and feed-forward correction of a multimodal tai-chi platform. In: Pirhonen, A., Brewster, S. (eds.) HAID 2008. LNCS, vol. 5270, pp. 30–39. Springer, Heidelberg (2008). doi:10.1007/978-3-540-87883-4_4
Bloomfield, A., Badler, N.: Virtual training via vibrotactile arrays. Teleoper. Virtual Environ. 17, 103–120 (2008)
Santos, O.C., Boticario, J.G.: Practical guidelines for designing and evaluating educationally oriented recommendations. Comput. Educ. 81, 354–374 (2015)
Garrett, J.J.: The Elements of User Experience: User-Centered Design for the Web and Beyond. New Riders, Berkeley (2002)
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Santos, O.C. (2017). Towards Personalized Vibrotactile Support for Learning Aikido. In: LavouĂ©, É., Drachsler, H., Verbert, K., Broisin, J., PĂ©rez-SanagustĂn, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_70
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DOI: https://doi.org/10.1007/978-3-319-66610-5_70
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