Browsing by Author "Liao, Hsien-Cheng"

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Architecture of an embedded internet robot system controlled by brain waves
(2006-06-15)
Wu, Li-Wei
;
Liao, Hsien-Cheng
The present invention discloses an architecture of an embedded internet robot system controlled by brain waves, wherein the brain-computer interface and the internet robot system cooperate with the alertness level detection technology and the instruction translation technology, and thereby, the user can control a distal-end robot purely via consciousness activities and can interact with the environment as if there were an entity representing the user's consciousness appearing in the distal end. The seriously disabled person can regain his expressive ability via the present invention. Further, the present invention can also be applied to a multi-player interactive game system.
Brain-controlled robot agent: an EEG-based e Robot agent
(2008)
Wu, Li-Wei
;
Liao, Hsien-Cheng
;
Hu, Jwu-Sheng
;
Lo, Pei-Chen
;
電控工程研究所
Purpose - This paper aims to present a novel embedded-internet robot system based on an internet robot agent and the brain-computer interface (BCI) scheme. Design/methodology/approach - A highly flexible and well-integrated embedded ethernet robot (e Robot) was designed with enhanced mobility. In the e Robot, a circuit core module called a tiny network bridge (TNB) is designed to reduce robotic system cost and increase its mobility and developmental flexibility. The TNB enables users to control e Robot motion via embedded ethernet technology. Through electroencephalogram (EEG) feedback training, the command translation unit (CTU) and alertness level detection unit (ADU) allow the e Robot to perform specific motions (for example, lying down or standing up) to reflect alertness levels of the user, and move forward, turn left or right following the user's command. Findings - After a short training period, subjects could achieve at least 70 percent accuracy in the CTU game testing. And the error rate of ADU, estimated from the results of classifying 496 labeled EEG epochs, was approximately 10.7 percent. Combining an encoding procedure, the commands issued from the CTU could prevent the robot from performing undesired actions. Originality/value - The e Robot could reflect some physiological human states and be controlled by users with our economical design and only two bipolar EEG channels adopted. Thus, users could make the EEG-based e Robot agent his or her representative. Based on the proposed EEG-based e Robot system, a robot with increased sophistication will be developed in the future for use by disabled patients.