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Imagining moving one's arms and legs creates minute changes in brain activity. The interface can detect these differences with an array of five sensors worn on the head.
After a week of training for three hours a day, subjects were able to turn the wheelchair right or left by thinking of their corresponding hand or foot and to move the chair forward by thinking of the scene ahead. Officials watched Monday as a thought-controlled wheelchair weaved through an obstacle course set up at the Ministry of Education, Culture, Sports, Science and Technology's headquarters here. The technology has an accuracy of more than 95 per cent.
Government-affiliated research institute Riken also worked on development .
Research on brain-machine interfaces is proceeding briskly around the world. The technology holds promise for creating responsive robots for use in nursing care. Household applications include controlling air conditioners and other appliances. And this would likely be just the beginning.
Honda Motor Co. (TSE:7267) and others have conducted successful trials of a thought-controlled robot that moves with an accuracy of more than 90 per cent but requires bulky detection devices. What makes the Toyota team's technology advantageous is that it takes only a laptop computer to process brain signals accurately and in real time, according to an official from Toyota's robotics division.
The team says that mountains of problems still stand in the way of thought-controlled cars, however.
(Nikkei) lm
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