Abstract
Recently, Kinect sensors have been used in many applications. Among them, there have been numerous studies that used Kinect sensors to improve efficiency of piano education. However, one of the main disadvantages of existing methods is that they did not take into consideration a dissimilarity measure that can occur when comparing the students’ and educator’s data. In addition, manually adjusting these settings can be cumbersome as for each case, there must be a set of optimal settings that match learner’s and educator’s data. In this paper, we propose a method to automatically set the piano learning stage by automatically adjusting the dissimilarity measure. Automatically adjusting the dissimilarity measure enables a gradual piano education and ultimately enhances the educational effect of the piano.
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Acknowledgement
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. R7120-17-1007, SIAT CCTV Cloud Platform).
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Park, SH., Ihm, SY., Park, YH. (2018). A Study on Adjustable Dissimilarity Measure for Efficient Piano Learning. In: Lee, W., Choi, W., Jung, S., Song, M. (eds) Proceedings of the 7th International Conference on Emerging Databases. Lecture Notes in Electrical Engineering, vol 461. Springer, Singapore. https://doi.org/10.1007/978-981-10-6520-0_12
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DOI: https://doi.org/10.1007/978-981-10-6520-0_12
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