The research team is led by Centre Director Prof. Chin-Teng Lin, and includes Dr. Chun-Hsiang Chuang and Dr. Shih-An Chen, with five postdoctoral fellows (Dr. Jung-Tai King, Dr. Kuan-Chih Huang, Dr. Tommy Huang, Dr. Yu-Ting Liu), and five PhD students.
The Centre has two major research areas:
- mobile sensing technologies of Brain EEG (Electroencephalography) and
- assessment of human cognitive states from sensed brain activity and other physiological signals.
Our short-term research objective is to exploit computational intelligence methodologies for Brain-Computer Interfaces (BCIs), a developing field adding a new dimension of functionality to Human-Computer Interfaces (HCIs).
Our longer-term goal is to incorporate bio-inspired, brain-like computational capabilities into next-generation computers and robots.
We are using new computational intelligence methodologies in the development of Brain-Computer Interface (BCI) technology, which aims to extend the capacity of the human brain in directly communicating and interacting with the environment, assisting, augmenting, or repairing human cognitive or sensory-motor functions. The team has already developed novel machine-learning algorithms based on Computational Intelligence (CI) technologies which can monitor, maintain, or track human cognitive states and operating performance, and attack the long-time existing BCI dilemma of user variability, circadian variability, and task variability.