Abstract
Indian Classical Dance (ICD) is a living heritage of India. Traditionally Gurus (teachers) are the custodians of this heritage. They practice and pass on the legacy through their Shishyas (disciples), often in undocumented forms. The preservation of the heritage, thus, remains limited in time and scope. Emergence of digital multimedia technology has created the opportunity to preserve heritage by ensuring that it can be accessible over a long period of time. However, there have been only limited attempts to use effective technologies either in the pedagogy of learning dance or in the preservation of heritage of ICD. In this context, the paper presents NrityaGuru – a tutoring system for Bharatanatyam – a form of ICD. Using Kinect Xbox to capture dance videos in multi-modal form, we design a system that can help a learner dancer identify deviations in her dance postures and movements against the prerecorded benchmark performances of the tutor (Guru).
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Notes
- 1.
Such a setup, however, may not work effectively for a performances with a lot of movement.
- 2.
HKA: hip–knee–ankle, SEW: shoulder–elbow–wrist, LH_HC_RH: left hip–hip center–right hip.
- 3.
Threshold of sudden change = 0.08, Threshold of fast motion = 1.5, Threshold of slow motion = 0.5.
- 4.
Score of match from starting to current frame.
References
Alexiadis, D., Kelly, P., Boubekeur, T., Moussa, M.B.: Evaluating a dancers performance using Kinect-based skeleton tracking. In: Proceedings of the 19th ACM International Conference on Multimedia, pp. 659–662 (2011)
Anderson, F., Grossman, T., Matejka, J., Fitzmaurice, G.: YouMove: enhancing movement training with an augmented reality mirror. In: Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, pp. 311–320. ACM, October 2013
Bellman, R., Kalaba, R.: On adaptive control processes. IRE Trans. Autom. Control 4(2), 1–9 (1959)
Chan, J.C., Leung, H., Tang, J.K., Komura, T.: A virtual reality dance training system using motion capture technology. IEEE Trans. Learn. Technol. 4(2), 187–195 (2011)
Drobny, D., Weiss, M., Borchers, J.: Saltate!: a sensor-based system to support dance beginners. In: CHI 2009 Extended Abstracts on Human Factors in Computing Systems, pp. 3943–3948. ACM, April 2009
Essid, S., Alexiadis, D., Tournemenne, R., Gowing, M., Kelly, P., Monaghan, D., Daras, P., Drémeau, A., O’Connor, N.E.: An advanced virtual dance performance evaluator. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2269–2272. IEEE, March 2012
James, S., Fonseca, M.J., Collomosse, J.: ReEnact: sketch based choreographic design from archival dance footage. In: Proceedings of International Conference on Multimedia Retrieval, p. 313. ACM, April 2014
Mallick, T., Das, P.P., Majumdar, A.K.: Characterizations of noise in Kinect depth images. IEEE Sens. J. 14, 1731–1740 (2014)
Mallick, T., Das, P.P., Majumdar, A.K.: Study of interference noise in multi-Kinect set-up. In: Proceedings of 9th National Conference on International Conference on Computer Vision Theory and Applications VISAPP 2014, pp. 173–178 (2014)
Mallick, T., Bhuyan, H., Das, P.P., Majumdar, A.K.: Annotated Bharatanatyam Data Set (2017). http://hci.cse.iitkgp.ac.in
Marquardt, Z., Beira, J., Em, N., Paiva, I., Kox, S.: Super mirror: a Kinect interface for ballet dancers. In: CHI 2012 Extended Abstracts on Human Factors in Computing Systems, pp. 1619–1624. ACM, May 2012
Nakamura, A., Tabata, S., Ueda, T., Kiyofuji, S., Kuno, Y.: Dance training system with active vibro-devices and a mobile image display. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS 2005), pp. 3075–3080. IEEE, August 2005
Nakamura, A., Tabata, S., Ueda, T., Kiyofuji, S., Kuno, Y.: Multimodal presentation method for a dance training system. In: CHI 2005 Extended Abstracts on Human Factors in Computing Systems, pp. 1685–1688. ACM, April 2005
Ramadoss, B., Kannan, R., Andres, F.: Intelligent tutoring systems for dance media environments. In: International Advance Computing Conference (IACC 2009) (2009)
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Aich, A., Mallick, T., Bhuyan, H.B.G.S., Das, P.P., Majumdar, A.K. (2018). NrityaGuru: A Dance Tutoring System for Bharatanatyam Using Kinect. In: Rameshan, R., Arora, C., Dutta Roy, S. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2017. Communications in Computer and Information Science, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-0020-2_42
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