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Evaluating Input Devices for Dance Research

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Music, Mind, and Embodiment (CMMR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9617))

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Abstract

Recording music-related motions in ecologically valid situations can be challenging. We investigate the performance of three devices providing 3D acceleration data, namely Axivity AX3, iPhone 4s and a Wii controller tracking rhythmic motions. The devices are benchmarked against an infrared motion capture system, tested on both simple and complex music-related body motions, and evaluations are presented of the data quality and suitability for tracking music-related motions in real-world situations. The various systems represent different trade-offs with respect to data quality, user interface and physical attributes.

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Notes

  1. 1.

    http://axivity.com.

  2. 2.

    https://itunes.apple.com/us/app/gyrosc/id418751595?mt=8.

  3. 3.

    http://www.osculator.net.

  4. 4.

    http://qualisys.com.

  5. 5.

    http://www.uio.no/english/research/groups/fourms/about/labs/.

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Correspondence to Mari Romarheim Haugen .

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Haugen, M.R., Nymoen, K. (2016). Evaluating Input Devices for Dance Research. In: Kronland-Martinet, R., Aramaki, M., Ystad, S. (eds) Music, Mind, and Embodiment. CMMR 2015. Lecture Notes in Computer Science(), vol 9617. Springer, Cham. https://doi.org/10.1007/978-3-319-46282-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-46282-0_4

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  • Publisher Name: Springer, Cham

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