標題: | Assessment of Mental Fatigue: An EEG-based Forecasting System for Driving Safety |
作者: | Liu, Yu-Ting Lin, Yang-Yin Wu, Shang-Lin Hsieh, Tsung-Yu Lin, Chin-Teng 電控工程研究所 腦科學研究中心 Institute of Electrical and Control Engineering Brain Research Center |
關鍵字: | Electroencephalography (EEG);functional-link recurrent self-evolving fuzzy neural network (FL-RSEFNN);brain-computer interface (BCI);driving safety |
公開日期: | 1-一月-2015 |
摘要: | This study proposes an EEG-based forecasting system based on a functional-link recurrent self-evolving fuzzy neural network (FL-RSEFNN) for assessing mental fatigue during a highway driving task. Drivers\' cognitive states significantly affect driving safety, especially for fatigue or drowsy driving which is one of common factors to endanger individuals and the public safety. In this study, a FL-RSEFNN employs an on-line gradient descent (GD) learning rule to address the EEG regression problem in brain dynamics for estimation of driving fatigue. We analyze brain dynamics in a car driving task, which is constructed in a simulated virtual reality (VR) environment. The EEG-based forecasting system is evaluated using the generalized cross-subject approach, and the results indicate that the FL-RSEFNN is superior to state-of-the-art models regardless of the use of recurrent or non-recurrent structures. |
URI: | http://dx.doi.org/10.1109/SMC.2015.561 http://hdl.handle.net/11536/129828 |
ISBN: | 978-1-4799-8696-5 |
ISSN: | 1062-922X |
DOI: | 10.1109/SMC.2015.561 |
期刊: | 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS |
起始頁: | 3233 |
結束頁: | 3238 |
顯示於類別: | 會議論文 |