ATR | Advanced Telecommunications Research Institute International
press release
Honda Successfully Develop and ATR New Brain-Machine Interface
Creating Technology for Manipulating Robots Using Human Brain Activity

                                                                            Honda Research Institute Japan Co., Ltd.
                                            Advanced Telecommunications Research Institute International
                                                                                                                   ref. #C06-043
                                                                                                    May 24, 2006

Advanced Telecommunications Research Institute International (ATR) and Honda Research Institute
Japan Co., Ltd. (HRI) have collaboratively developed a new Brain Machine Interface (BMI) for
manipulating robots using brain activity signals. This new BMI technology has enabled the decoding of
natural brain activity and the use of the extracted data for the near real-time operation of a robot
without an invasive incision of the head and brain. This breakthrough facilitates greater possibilities for
new types of interface between machines and the human brain.

The idea of this BMI technology is based on a highly acclaimed article titled Decoding the perceptual
and subjective contents of the human brain by Dr. Yukiyasu Kamitani, a researcher at
ATR Computational Neuroscience Laboratories, which recently appeared in a leading science journal,
 Nature Neuroscience. For this study, Dr. Kamitani was named by Scientific American magazine as
Research Leader, with his collaborator Dr. Frank Tong at Vanderbilt University, within the 2005 Scientific American 50 the magazines prestigious annual list that recognizes outstanding acts of leadership in
 science and technology. HRI and ATR have developed the articles theory into a system for real-time
brain activity decoding and robotic control.

This research reveals that MRI-based neural decoding can allow a robot hand to mimic the subjects
finger movements (paper-rock-scissors) by tracking the hemodynamic responses in the brain.
Although there is an approximate 7-second time lag between the subjects movement and the robots mimicking movement, the researchers succeeded in gaining a decoding accuracy of 85%.

This technology is potentially applicable to other types of non-invasive brain measurements such as the
 brains electric and magnetic fields and brain waves. By utilizing such methods, it is expected that
the same result could be achieved with less time lag and more compact BMI system devices.







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Scanning Brain Activity Using MRI
(showing scissors)

Analysis of a brain image by a computer program
(Left) Active brain areas
(Upper right) Extracted brain activity patterns
(Lower right) Pattern classification processing

Simulation of the subjects
hand movement by a hand
shaped robot


Experimental Procedures of the Newly Developed BMI

Outline of Experimentation:

The subject in an MRI scanner makes a finger gesture, paper,rock or scissors, while the changes
 in his/her hemodynamic responses associated with brain activity are monitored every second. Specific
 signals generating paper-rock-scissors movements are extracted and decoded by a computer program,
and the decoded information is transferred to a hand-shaped robot to simulate the original movement performed by the subject.

BMI
While conventional machine-interfaces are operated using button switches controlled by human hands
or feet, BMI uses brain activity measured by various devices and allows non-contact control of the
terminal machines. Implanted electrode arrays, and brain waves have been commonly used.

Features of the new BMI Technology Developed by ATR and HONDA
The system is aimed for applications of BMI to everyday life, without need for surgery or intensive user
 training.

1)No Surgery Required
In conventional BMI research efforts led by U.S. neuroscientists, invasive technologies, including
electrode array implants, have been used. If advanced non-invasive BMI becomes available, users will be
 free from the physical burden of a surgical procedure. This research accomplishment demonstrates the
 possibility of such a useful application.

2)No Specific Training Required
Conventional non-invasive BMI required the user to undergo intensive training in order to generate
 detectable brain activities. For example, as the brain activity associated with an intention, say Yes,
is very hard to track, the user is instructed to perform a mental task that is irrelevant to the mental
state but associated with easily detectable brain activity such as mental calculation. The user must
learn to control such brain activity to express an intention. The new BMI technology is different in that
 natural brain activity associated with specific movements can be decoded without using alternative brain
 activity. The experiment revealed that paper-rock-scissors movements were decoded directly from an
 untrained subjects real-time brain activity. This is an outstanding breakthrough in brain decoding
 technologies.

To achieve real-time brain activity decoding and robotic control, a system provided by the
 Computational Brain Project of Japan Science and Technology Agency (JST-ICORP: Research
Supervisor (Japan): Dr. Mitsuo Kawato, Research Supervisor (U.S.): Dr. Christopher Atkeson) was used
 for simulation of the subjects movement by a robot hand.
The ATR Brain Activity Imaging Center (BAIC) provided support in areas related to the MRI machines.

For further information, contact:
ATR PR section:    TEL(0774)95-1112
FAX(0774)95-1109
Honda Motor Co., Ltd. Corporate Communications:    TEL(03)5412-1512
FAX(03)5412-1545


Publicity materials relating to this announcement are available at the following URL:
http:// www.honda.co.jp/PR/ (for the use of journalists.)or http://www.atr.jp/index_e.html
 
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