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A gesture recognition algorithm for vision-based unicursal gesture interfaces

Published: 04 July 2012 Publication History

Abstract

Network communication services such as Skype or gaming applications using interactive TVs with cameras and IR-sensors have begun to appear. Vision-based recognition systems using hand gestures to control applications such as TV menus are gaining popularity in the market. It is crucial that the VGI is simple, easily used and allows users to comfortably command TVs. For simple and easy to use VGIs, we focus on vision-based unicursal gesture interfaces (VUGI) which recognizes both the shape of a unicursal figure drawn by a user and orientation indicated by the start position of the unicursal figure. In this paper, we propose Support Vector Machines (SVM) using Distance to Border (DtB) features to increase the number of recognized unicursal gestures. We evaluated the performance of the proposed algorithm in an experiment and the mean recognition rate of eight unicursal figures was 94.6% and the maximum recognition processing time was 9.56ms.

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References

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Aoki, R., Karatsu, Y., Ihara, M., Maeda, A., Kobayashi, M. and Kagami, S. 2011. Gesture Identification Based on Zone Entry and Axis Crossing. In Proceeding of HCII'11. Florida, USA, 6762, 194--203.
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Cited By

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  • (2016)Towards the design of effective freehand gestural interaction for interactive TVJournal of Intelligent & Fuzzy Systems10.3233/JIFS-16910631:5(2659-2674)Online publication date: 13-Oct-2016
  • (2013)Freehand gestural text entry for interactive TVProceedings of the 11th European Conference on Interactive TV and Video10.1145/2465958.2465966(121-130)Online publication date: 24-Jun-2013
  • (2013)Control with Hand Gestures in Home Environment: A ReviewProceedings of the Institute of Industrial Engineers Asian Conference 201310.1007/978-981-4451-98-7_100(837-843)Online publication date: 12-Jul-2013

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      cover image ACM Other conferences
      EuroITV '12: Proceedings of the 10th European Conference on Interactive TV and Video
      July 2012
      240 pages
      ISBN:9781450311076
      DOI:10.1145/2325616
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Fraunhofer FOKUS: Fraunhofer FOKUS

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      New York, NY, United States

      Publication History

      Published: 04 July 2012

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      Author Tags

      1. DTB
      2. SVM
      3. VUGI
      4. gesture
      5. menu selection

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      EuroiTV '12
      Sponsor:
      • Fraunhofer FOKUS

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      EuroITV '12 Paper Acceptance Rate 31 of 91 submissions, 34%;
      Overall Acceptance Rate 52 of 149 submissions, 35%

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      Cited By

      View all
      • (2016)Towards the design of effective freehand gestural interaction for interactive TVJournal of Intelligent & Fuzzy Systems10.3233/JIFS-16910631:5(2659-2674)Online publication date: 13-Oct-2016
      • (2013)Freehand gestural text entry for interactive TVProceedings of the 11th European Conference on Interactive TV and Video10.1145/2465958.2465966(121-130)Online publication date: 24-Jun-2013
      • (2013)Control with Hand Gestures in Home Environment: A ReviewProceedings of the Institute of Industrial Engineers Asian Conference 201310.1007/978-981-4451-98-7_100(837-843)Online publication date: 12-Jul-2013

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