Manipulating Robots Using Human Brain Activity
Main Category: IT / Internet / E-mailAlso Included In: Neurology / Neuroscience
Article Date: 26 May 2006 - 15:00 PDT
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Tokyo, Japan - (JCN Newswire) - 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 magazine's prestigious annual list that recognizes outstanding acts of leadership in science and technology. HRI and ATR have developed the article's 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 subject's finger movements ("paper-rock-scissors") by tracking the hemodynamic responses in the brain. Although there is an approximate 7-second time lag between the subject's movement and the robot's 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 brain's 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.
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 subject's 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 subject's movement by a robot hand. The ATR Brain Activity Imaging Center (BAIC) provided support in areas related to the MRI machines.
About Honda Motor Co., Ltd.
Honda Motor Co., Ltd. (TSE: 7267)(NYSE: HMC)(LSE: HNDA.L) is one of the leading manufacturers of automobiles and power products and the largest manufacture of motorcycles in the world. Honda has always sought to provide genuine satisfaction to people worldwide. The result is more than 120 manufacturing facilities in 30 countries worldwide, producing a wide range of products, including motorcycles, ATVs, generators, marine engines, lawn and garden equipment and automobiles that bring the company into contact with over 19 million customers annually. http://world.honda.com
About ATR
The Advanced Telecommunications Research Institute International (ATR) is an independent corporation which conducts R&D, both basic and advanced, in the field of telecommunications. Research is commissioned by public and private sectors, or carried out with funds obtained through open competition. We are also actively engaged in applying our research results to industrial and commercial use. ATR was established 1986 with support from various sections of industry, academia and government. In the spring of 1989, our new research laboratory was opened in Kansai Science City "Keihanna". For the information society of the 21st century, ATR intends to as a major center to basic and creative telecommunication research and development, as well as to establish relationship both domestically and abroad.
http://www.atr.jp/index_e.html
By Aki Tsukioka, JCN Staff Writer
Copyright © 2006 JCN. All rights reserved. A division of Japan Corporate News Network KK.
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MLA
14 Feb. 2012. <http://www.medicalnewstoday.com/releases/44054.php>
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http://www.medicalnewstoday.com/releases/44054.php.
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