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, Paul Lukowicz

研究成果: Conference contribution

28 被引用数 (Scopus)

抄録

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 - sufficient 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.

本文言語English
ホスト出版物のタイトルProceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007
ページ32-39
ページ数8
DOI
出版ステータスPublished - 2007
イベント2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007 - Honolulu, HI, United States
継続期間: 2007 4 12007 4 5

出版物シリーズ

名前Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007

Other

Other2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007
CountryUnited States
CityHonolulu, HI
Period07/4/107/4/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Theoretical Computer Science

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