Engineering HDR Seminar 14, 2012: Brain-Machine Interface for Industrial Robotics

Mr Kee Chea Yau, RAM postgraduate student

Date: 2012-08-28
Time: 15:00 to 16:00
Venue: Engineering Meeting Room 1, 5-4-22


Brain Computer Interface (BCI) is an interface system that allow direct communication pathway from brain to external devices bypassing conventional neuromuscular channel. The main motivation of such systems is to restore several lost abilities of individuals suffering from severe motor impairment; thus improving their quality of life. Electroencephalography (EEG) is by far the most widely used non-invasive neuro-imaging modality, owing to its practicality in real-world application. However, there are limited real-world applications because BCI systems based on one EEG neuro-mechanism only allow simple and limited commands. One method to increase the complexity and number of commands is to use more neuro-mechanisms simultaneously. A pure Hybrid BCI is a system that combines two or more neuro-mechanisms to make the system more intelligent. At present, pure BCI hybrid systems are not well-explored as current research projects only focus on simple investigation to validate the feasibility of the system. This research work aims to develop a Hybrid BCI system that combines the advantages of P300 and Motor Imagery methods to achieve asynchronous 3D movement control of a robotic manipulator. Preliminary studies show that the developed signal processing and recognition algorithm is able to accurately classify P300 signals and this algorithm will be extended to accommodate Motor Imagery signal. Future work involves investigation on various strategies to combine P300 and Motor Imagery to achieve efficient on-line Hybrid system.

About the Speaker

Mr Kee Chea Yau graduated with Bachelor of Engineering (Mechatronics Engineering with Honours) from Monash University Sunway Campus in year 2011. He joined Monash University the same year for postgraduate studies under the supervision of Prof. S. G. Ponnambalam and Mr. Khoo Boon How. His research focuses on applying Brain Computer Interface (BCI) in the field of industrial robotics. The study aims to develop a Hybrid BCI system that is able to achieve asynchronous 3-dimensianal movement control of a robotic manipulator.