| Title | Active Brain-Machine-Body Interface for Natural Cognition |
| Speaker | Prof. Chin-Teng (CT) Lin |
| Chair | James Keller |
Abstract
Brain-machine interface (BMI) is to enhance human brain’s capability in interacting with the environment through a direct pathway. For daily-life applications, BMI is extended to Brain-machine-body interface (BMBI) for close-loop interactions between body and external devices. BMBI plays an important role in natural cognition, which is to study the brain and behavior at work. Human cognitive functions such as perception, attention, situational awareness, and decision making are omnipresent in our daily life activities. For instance, driving is one of the most common attention-demanding tasks in our daily routine. When drivers lost their attention, they had appreciably reduced the perception, recognition and vehicle control abilities. Hence, how to effectively prevent and enhance the human cognitive functions has become a very important issue. Recently, many investigators had developed novel algorithms based on computational intelligence (CI) technologies to monitor, maintain, or track the human operating performance. In this lecture, we shall introduce the fundamental physiological changes of the human cognitive functions at work first and then explain how to utilize these main findings to develop the monitoring and feedback systems in the following two topics: (1) Wearable and wireless EEG devices for drivers based on innovative dry sensors; and (2) Cognitive state monitoring and prediction in driving. These research advancements can provide us new insights into the understanding of complex cognitive functions and lead to novel application enhancing our productivity and performance in face of real-world complications.
Biography
Professor Chin-Teng Lin received the B.S. degree from National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, USA in 1989 and 1992, respectively. He is currently the Provost, Lifetime Chair Professor of Electrical and Computer Engineering, and Director of Brain Research Center, National Chiao Tung University. He is also invited as the International Faculty of University of California at San-Diego (UCSD) from 2011 to 2013. Professor Lin was elected to be an IEEE Fellow for his contributions to biologically inspired information systems in 2005. He was awarded the Outstanding Electrical and Computer Engineer (OECE) by Purdue University in 2011. Professor Lin has also served as the Editor-in-Chief (EIC) of IEEE Transactions on Fuzzy Systems (Impact Factor: 4.26, Top 4.5% of all 111 Computer Science journals, and 3.5% of 244 Electrical Engineering category) since 2011; he is the first and only one EIC of IEEE journals from Taiwan. Professor Lin is also the Co-Founding Editor-in-Chief of Journal of Neuroscience and Neuroengineering published by American Scientific Publishers since 2012. He received the Merit NSC Research Fellow Award by National Science Council (NSC) of Taiwan in 2007, the highest and lifetime research achievements award in Taiwan NSC; he was the youngest one receiving this awards.
Professor Lin has been granted a project Cognition and Neuroergonomics; Collaborative Technology Alliance (CTA) from 2010 to 2014 by Army Research Lab of USA, the first time that ARL supports on Taiwan’s organization for cognition research, and it is one of the major projects of neuroscience and engineering research in USA. Professor Lin has published about 170 journal papers (including more than 70 High Impact papers), 2 text books, and over 200 conference papers. He also has 26 approved patents in total over 50 issued patents. According to the statistics of Google Scholar, Prof. Lin’s h-Index is 36 (with 36 papers receiving more than 36 citations) and total citation is 8778.
