• Sorted by Date •

Waving Real Hand Gestures Recorded by Wearable Motion Sensors to a Virtual Car and Driver in a Mixed-Reality Parking Game

David Bannach, Oliver Amft, Kai S. Kunze, Ernst. A. Heinz, Gerhard Tröster, and Paul Lukowicz. Waving Real Hand Gestures Recorded by Wearable Motion Sensors to a Virtual Car and Driver in a Mixed-Reality Parking Game. In CIG 2007: Proceedings of the 2nd IEEE Symposium on Computational Intelligence and Games, pp. 32–39, IEEE Press, April 2007.

Download

[PDF]381.2kB  

Abstract

We envision to add context awareness and ambient intelligence to edutainment and computer gaming applications in general. This requires mixed-reality setups and ever-higher levels of immersive human-computer interaction. Here, we focus on the automatic recognition of natural human hand gestures recorded by inexpensive, wearable motion sensors. To study the feasibility of our approach, we chose an educational parking game with 3-D graphics that employs motion sensors and hand gestures as its sole game controls. Our implementation prototype is based on Java-3D for the graphics display and on our own CRN Toolbox for sensor integration. It shows very promising results in practice regarding game appeal, player satisfaction, extensibility, ease of interfacing to the sensors, and -- last but not least -- sufficent accuracy of the real-time gesture recognition to allow for smooth game control. An initial quantitative performance evaluation confirms these notions and provides further support for our setup.

@INPROCEEDINGS{Bannach2007-P_CIG,
  author = {David Bannach and Oliver Amft and Kai S. Kunze and Ernst. A. Heinz
	and Gerhard Tr\"oster and Paul Lukowicz},
  title = {Waving Real Hand Gestures Recorded by Wearable Motion Sensors to
	a Virtual Car and Driver in a Mixed-Reality Parking Game},
  booktitle = {CIG 2007: Proceedings of the 2nd IEEE Symposium on Computational
	Intelligence and Games},
  year = {2007},
  editor = {Alan Blair and Sung-Bae Cho and Simon M. Lucas},
  pages = {32--39},
  month = {April},
  publisher = {IEEE Press},
  abstract = {We envision to add context awareness and ambient intelligence to edutainment
	and computer gaming applications in general. This requires mixed-reality
	setups and ever-higher levels of immersive human-computer interaction.
	Here, we focus on the automatic recognition of natural human hand
	gestures recorded by inexpensive, wearable motion sensors. To study
	the feasibility of our approach, we chose an educational parking
	game with 3-D graphics that employs motion sensors and hand gestures
	as its sole game controls. Our implementation prototype is based
	on Java-3D for the graphics display and on our own CRN Toolbox for
	sensor integration. It shows very promising results in practice regarding
	game appeal, player satisfaction, extensibility, ease of interfacing
	to the sensors, and -- last but not least -- sufficent accuracy of
	the real-time gesture recognition to allow for smooth game control.
	An initial quantitative performance evaluation confirms these notions
	and provides further support for our setup.},
  doi = {10.1109/CIG.2007.368076},
  file = {Bannach2007-P_CIG.pdf:Bannach2007-P_CIG.pdf:PDF},
  keywords = {Game Control, Gesture Recognition, Immersive Human-Computer Interaction,
	Java-3D, Mixed Reality, Motion Sensors, Wearable Computing},
  owner = {oam},
  timestamp = {2007/04/18}
}

Generated by bib2html.pl on Wed Dec 01, 2010 23:40:25