Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality"

Dataset

Description

This is the data repository for the paper "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality" by Javier Dehesa, Andrew Vidler, Christof Lutteroth and Julian Padget, presented at CHI 2020 conference in Honolulu, HI, USA. See the publication for details.

The archives gesture_recognition_data.zip and gesture_recognition_code.zip contain respectively the data and code for the gesture recognition component. Similarly, the archives animation_data.zip and animation_code.zip contain respectively the data and code for the animation component. Instructions about how to use these are provided within them.

The archive user_studies.zip contains information about our user studies. The file questionnaire_study.jasp and interactive_study.jasp contain the data and analysis of the questionnaire and interactive studies respectively. They can be consulted with the open source tool JASP (https://jasp-stats.org/). The video questionnaire_conditions.mp4 shows the full videos used as the three conditions for the questionnaire study.
Date made available6 Jan 2020
PublisherUniversity of Bath

Contact

  • 1 Chapter in a published conference proceeding

  • Touché: Data-Driven Interactive Sword Fighting in Virtual Reality

    Dehesa, J., Vidler, A., Lutteroth, C. & Padget, J., 21 Apr 2020, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, USA: Association for Computing Machinery, Vol. 2020-April. p. 1-14 14 p. 3376714. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

    Open Access
    File
    9 Citations (SciVal)
    644 Downloads (Pure)

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