Honda Robot Controlled By Brain Waves 137
Dotnaught writes "Honda researchers to have developed a way to control robots using human brain waves. Using brain signals read from a person in a magnetic resonance imaging scanner, a robotic hand mirrored the movement of the human controller, spreading its fingers and making a 'V' sign."
Ask and ye shall receive (Score:5, Informative)
hmmmm (Score:5, Informative)
By the way, MRI does not measure "brain waves". It measures blood oxygenation changes, which are related to the firing of neurons.
It's probably just latency (Score:4, Informative)
More Links (Score:3, Informative)
http://www.newlaunches.com/archives/honda_develop
And all the other links that were related:
http://www.engadget.com/2006/05/24/hondas-asimo-g
http://www.japancorp.net/Article.Asp?Art_ID=12565 [japancorp.net]
The Japancorp has the most information than both the engadget and then Yahoo.
Re:universality? (Score:3, Informative)
I think this research is a follow-up to a study Kamitani & Tong published last year in Nature Neuroscience, where they decoded the orientation of edges a subject was looking at. Here's the abstract:
Decoding the visual and subjective contents of the human brain
The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents.