Gesture recognition sought as alternative input mechanism for disabled |
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| Trendwatch | ||||
| By Rick C. Hodgin | ||||
| Friday, December 19, 2008 08:31 | ||||
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Sydney (Australia) - The Virtual and Interactive Simulations department at Macquarie University in Sydney is looking to help handicapped computer users by incorporating gesture recognition. The system involves body position analysis as well as assisted input, such as data gloves.
Gesture recognition has been seen in movies like Minority Report (staring Tom Cruise), and more recently The Day the Earth Stood Still (2008) (staring Keanu Reeves). In these movies, users do not touch a screen, but interact with the air via hand movements. The movements on film were typically echoed by something visible before them, like a mid-air hologram. While holograms are not yet possible with current technology, the idea of having gesture recognition aid both regular and handicapped users for regular computer use is increasing. Also, the progression in input seems straight-forward: keyboard/mouse, light-pen, touch, multi-touch, gesture. Manolya Kavakli of Macquarie University explains that standard input devices (like keyboard and mouse), do not closely mimic natural hand motions such as drawing and sketching. She also says these devices have not been developed for ergonomic use, nor for the handicapped. Kavakli states: "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." The research on gesture recognition appears in an article entitled "Gesture recognition in virtual reality," by Manolya Kavakli in International J. Arts and Technology, 2008, volume 1, pages 215-229.
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