Honda Robot Controlled By Brain Waves
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."
Here ya go.
- None can love freedom heartily, but good men; the rest love not freedom, but license. -- John Milton
I've done some fMRI of motor movements... All these movements, the fist, the V-sign, would activate the hand area, premotor cortex, and some parietal areas... I am very skeptical that you could tell the difference between them. But if they can that is very impressive, especially to do it in real time...
By the way, MRI does not measure "brain waves". It measures blood oxygenation changes, which are related to the firing of neurons.
As per the discussion on Digg here is a video of the robot in action with the MRI:
s _bmi_robot_hand.php
e ts-mind-control-interface/
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
The Japancorp has the most information than both the engadget and then Yahoo.
"I am the king of the Romans, and am superior to rules of grammar!"
-Sigismund, Holy Roman Emperor (1368-1437)
For gross things, it can be quite obvious what the person is doing. I can tell by looking at the activations in your brain if you are looking at something versus hearing something. But looking at a duck versus looking at a cow? Much harder. Making a V-sign versus making a fist? I've never seen a paper where someone reported being able to do this. It is theoretically possible, but difficult with a blurry MRI signal that aggregates over populations of neurons.
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.