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Presentation
Dynamic hand gesture recognition system using moment invariants
Faculty of Engineering - Papers (Archive)
  • Zhengmao Zou, University of Wollongong
  • Prashan Premaratne, University of Wollongong
  • Malin Premaratne
  • Ravi Monaragala
  • Nalin Bandara
RIS ID
35204
Publication Date
1-1-2010
Publication Details

Zou, Z., Premaratne, P., Premaratne, M., Monaragala, R. & Bandara, N. 2010, 'Dynamic hand gesture recognition system using moment invariants', in D. Dias (eds), ICIAfS 2010: 5th International Conference on Information and Automation for Sustainability, IEEE Computational Intelligence Society, Colombo, Sri Lanka, pp. 108-113.

Abstract

We have developed a dynamic hand gesture recognition system that can simplify the way humans interact with computers and many other non-critical consumer electronic equipment. The proposed system is based on the well-known “Wave Controller” technology developed at the University of Wollongong and will revolutionize video gaming and consumer electronics control interfaces. Currently, computer interfacing mainly involves keyboard, mouse, joystick or gaming wheels and occasionally voice recognition for user input. These modes of interaction have restrained the artistic ability of many users, as they are required to respond to the computer through pressing buttons or moving other apparatus. Voice recognition is seen as unreliable and impractical in areas where more than one user is present. All these drawbacks can be tackled by using a reliable hand gesture recognition system that facilitates interaction between users and computers and other consumer electronic equipment in real time. This will further enhance the user experience as users no longer have any physical connection to the equipment being controlled. This system can also be extended to a sign language system for the benefit of the disabled including those with speech disabilities.

Disciplines
Citation Information
Zhengmao Zou, Prashan Premaratne, Malin Premaratne, Ravi Monaragala, et al.. "Dynamic hand gesture recognition system using moment invariants" (2010) p. 108 - 113
Available at: http://works.bepress.com/pdissanayakemudiyanselage/3/