This technology suggests that body movements can be used as a remote control when using the computer or watching television. For example, if you no longer want to watch a DVD on your laptop, you could simply raise your hand to the web cam indicating the command to ‘Stop’. Toshiba has currently introduced a laptop with gesture identification specifically used to control “multimedia playback.” Toshiba has also been dabbling with using this technology for televisions, however, it still needs a lot of improvement. This technology could be considered to be implemented in a new-context. Gesture recognition is not something new to the market. The Wii has already introduced something similar, however, gesture recognition would not be used to mimic motions in a game, but to give commands to various technologies, such as ‘stop’ or ‘play’
Using the Toshiba experimental TV viewers are able to interact with the display system simply by gesturing with their hand. Once the viewer is in front of the display screen, the system will ‘see’ them and invite them to take control of the display simply by raising their hand. As the system can robustly track their hand even under different lighting conditions, the visitor can enjoy controlling the on-screen cursor.
The gesture-control research is extremely exciting and is opening an array of possibilities for consumers, such as new interfaces for TVs and interactive displays in shop windows and information kiosks,” explains Professor Roberto Cipolla , who with Dr Bjorn Stenger at Toshiba and Tom Woodley at the Department of Engineering, has been pioneering the use of computer vision in human-machine interaction since 1992. All three of whom are Department of Engineering alumni.
The gesture interface may not replace a remote controller, but can provide an alternative way to interact with a PC or display. Imagine never having to search for the remote controller to turn the TV volume down when receiving a phone call.
Another vision-based interface has also been developed, viewers will be able to switch the display’s language or contents simply by showing different picture cards. Identification interfaces like this offer the user the ability to personalise either the interface or the contents.The system uses a single camera mounted on the top of the display and is started by the user raising their hand to initiate the interaction. The software then tracks the person’s hand using multiple cues including colour, motion and appearance. It can reliably recognise and track the user’s gestures even under rapid motion or changing light conditions. Since different cues are less reliable in different situations this multiple-cue approach is key to making a human computer interface work robustly.
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