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Gesture Recognition Will Allow People With Disabilities To Interact More Easily With Computers

Date:
December 27, 2008
Source:
Inderscience Publishers
Summary:
A system that can recognize human gestures could provide a new way for people with physical disabilities to interact with computers. A related system for the able bodied could also be used to make virtual worlds more realistic.

A system that can recognize human gestures could provide a new way for people with physical disabilities to interact with computers. A related system for the able bodied could also be used to make virtual worlds more realistic. 

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Manolya Kavakli of the Virtual and Interactive Simulations of Reality Research Group, at Macquarie University, Sydney, Australia, explains how standard input devices - keyboard and computer mouse, do not closely mimic natural hand motions such as drawing and sketching. Moreover, these devices have not been developed for ergonomic use nor for people with disabilities.

She and her colleagues have developed a computer system architecture that can carry out "gesture recognition". In this system, the person wears "datagloves" which have illuminated LEDs that are tracked by two pairs of computer webcams working to produce an all-round binocular view. This allows the computer to monitor the person's hand or shoulder movements. This input can then be fed to a program, a game, or simulator, or to control a character, an avatar, in a 3D virtual environment.

"We developed two gesture recognition systems: DESigning In virtual Reality (DesIRe) and DRiving for disabled (DRive). DesIRe allows any user to control dynamically in real-time simulators or other programs. DRive allows a quadriplegic person to control a car interface using input from just two LEDs on an over-shoulder garment. For more precise gestures, a DataGlove user can gesture using their fingers.

The system architecture include the following components: Vizard Virtual Reality Toolkit, an immersive projection system (VISOR), an optical tracking system (specifically the Precision Position Tracker (PPT) system) and a data input system, Kavakli explains. The DataGlove input is quite simplistic at the moment, but future work will lead to an increase in sensitivity to specific gestures, such as grasping, strumming, stroking, and other hand movements.


Story Source:

The above story is based on materials provided by Inderscience Publishers. Note: Materials may be edited for content and length.


Journal Reference:

  1. Manolya Kavakli. Gesture recognition in virtual reality. Int. J. Arts and Technology, 2008, 1, 215-229

Cite This Page:

Inderscience Publishers. "Gesture Recognition Will Allow People With Disabilities To Interact More Easily With Computers." ScienceDaily. ScienceDaily, 27 December 2008. <www.sciencedaily.com/releases/2008/12/081218140543.htm>.
Inderscience Publishers. (2008, December 27). Gesture Recognition Will Allow People With Disabilities To Interact More Easily With Computers. ScienceDaily. Retrieved October 25, 2014 from www.sciencedaily.com/releases/2008/12/081218140543.htm
Inderscience Publishers. "Gesture Recognition Will Allow People With Disabilities To Interact More Easily With Computers." ScienceDaily. www.sciencedaily.com/releases/2008/12/081218140543.htm (accessed October 25, 2014).

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