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Outline

A Study on Motion-Based UI for Running Games with Kinect

Abstract

This study examines the efficiency of human motion-based UI for video games with motion capture system, Kinect. We took an investigation to play with the Kinect sensor in the running game which was developed and designed using two kinds of UI. One UI consists of more intuitive and familiar motions such as turning and jumping. The other UI consists of arm motions like raising hands. As a result, UI with arm motions was easier for users to master and results in higher success rates to play than the other UI. Therefore we can conclude when a game is developed using Kinect and its UI is configured with motion recognition, the motion with the arms rather than the other parts of the body helps player better to enhance the play skills and immerse in the game.

References (4)

  1. M. Renzi, S. Vassos, T. Catarci, and S. Kimani, "Touching Notes: A Gesture-Based Game for Teaching Music to Childer," in proceedings of TEI 2015 (9 th International Conference on Tangible, Embedded and Embodied Interaction), Stanford, CA, USA, pp. 603-606, January 15-19, 2015.
  2. C.-H. Tsai, Y.-H. Kuo, K.-C. Chu, and J.-C. Yen, "Development and Evaluation of Game-based Learning System Using the Microsoft Kinect Sensor", International Journal of Distributed Sensor Network, in press.
  3. B.Lange, C.-Y. Chang, E. Suma, B. Newman, A.S. Rizzo, and M. Bolas, "Devlopement and evaluation of low cost game-based balance rehabilitation tool using the microsoft kinect sensor", In proceedings of EMBC 2011 (IEEE Engineering in Medicine and Biology Society), pp. 1831-1834, August 30- September 3, 2011.
  4. B. Lange, S. Koening, E. McConnell, C. Chang, R. Juang, E. Suma, M. Bolas, and A. Rizzo, "Interative game-based rehabilitation using Microsoft Kinect", In proceedings of VRW 2012 (IEEE Virtual Reality Short Papers and Posters), pp. 171-172, March 4-8, 2012.