The 3rd RSU National and International Research Conference on Science and Technology, Social Science, and Humanities 2018. (RSUSSH 2018)
RSUSSH 2018 is co-organized by Rangsit University in association with Prachachuen Research Network (PRN); Salus University, USA; Indian Council of Social Science Research (ICSSR) and Japan Advanced Institute of Science and Technology (JAIST), Japan.
The conference will be held at the STUDENT CENTER BUILDING, RANGSIT UNIVERSITY, THAILAND on 4th MAY 2018.
RSUSSH 2018 is an international forum for the presentation of technological advances and research results including start up in the fields of Science and Technology, Social Science and Humanities. The conference will bring together leading researchers in field of medical science, scientists and engineers, architectures, education, social science in the domain of interest from around the world. This conference aims to establish a learning network leading to the expansion and development of knowledge beneficial to society and the country
RSUSSH 2018 is entitled “Integrated Innovation and Startup for the Future”. This will be an academic platform for both Thai and foreign professionals to present their research findings and share their experience or shoot the start up idea which further leads to the promotion of a strong collaboration within national and international research networks.
We warmly welcome prospected authors submit your new research papers to RSUSSH 2018, and share the valuable experiences with the researchers around the world.
Session 1.1 Biomedical Engineering for Aging Society
Keynote Speaker : Assoc. Prof.Dr. Tomohiko Igasaki
Toward Drowsy Driving Prevention
~ Detection Then Prediction of Drowsiness by Biological Signals ~
Faculty of Advanced Science and Technology, Kumamoto University
E-mail : firstname.lastname@example.org
In the process leading to sleep from arousal, we often feel drowsy. In modern society, we frequently stand in a situation that we need to live our daily life with sleepiness. However, sleepiness is a cause of lower production efficiency and serious accidents. According to Prof. Makoto Uchiyama, director of the Japanese Sleep Association, it has been announced that around US$ 9 billion in Australia (2004), about US$ 1000 billion in the United States (1993), and about US$ 350 billion in Japan (2006, about US$ 500 billion if including medical expenses) were estimated if replaced by economic losses. Also, accidents caused by drowsiness directly link to human life, so it is essential to prevent this problem. Thus, we have been examining drowsy driving prevention by biological signals. Concretely, we asked the subjects to do a simulated driving and evaluate sleepiness at that time by psychological indexes. At the same time, we measured biological signals, such as electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), and respiration curve by polygraph, then analyzed them by the band power (EEG), closed eye time and blink frequency (EOG), heart rate variability (ECG), breathing rate variability (respiration curve), and other physiological indicators. Finally, we found physiological indicators correlated with psychological ones then quantify drowsiness by biological signals. Furthermore, we investigated predicting the near future drowsiness of the subject from the physiological index and establishing a method to predict particularly strong drowsiness.
Tomohiko Igasaki received B.Eng., M.Eng., and Ph.D. degree in engineering from Kumamoto University in 1994, 1996 and 2007 respectively. He is currently an associate professor in the Faculty of Advanced Science and Technology, Kumamoto University. His research interests include biological signal processing (quantification/visualization for practical use especially health/medical care).
Website : https://rsucon.rsu.ac.th/