A schematic view of cybersickness detection diagram uses VR, EEG, and Deep learning. The LSTM deep learning is used to classify the EEG data recorded from the user who is...
Abstract:
Virtual Reality (VR) research has been widely applied in many fields. VR promises to deliver the experience that is beyond the user's imagination. One of the advantages o...Show MoreMetadata
Abstract:
Virtual Reality (VR) research has been widely applied in many fields. VR promises to deliver the experience that is beyond the user's imagination. One of the advantages of VR is the feeling it gives of being there. VR can provide experiences impossible in the real world, such as flying, diving in deep water, exploring outer space, or living with dinosaurs. Despite the improvements in the software and hardware, the problem of motion sickness remains. We implement a deep learning model to train and predict motion sickness. A questionnaire is a well-known method to measure motion sickness. The weakness of the questionnaire is the measurement carried out after the user experiences motion sickness symptoms. By using the deep learning and EEG, the system will learn and classify motion sickness. The system learns the user's EEG pattern when they begin to feel the sickness symptoms. The system will be trained using deep learning to identify the sickness patterns in the future. By the EEG patterns, the system can predict the sickness symptoms before it occurs. Our model outperforms traditional models in loss values, accuracy, and F-measure metrics in Roller Coaster. With other datasets, our model also performs well. Our model can achieve 82.83% accuracy from the dataset. We also found that the time steps to predict motion sickness during 5 minute periods is a suitable configuration.
A schematic view of cybersickness detection diagram uses VR, EEG, and Deep learning. The LSTM deep learning is used to classify the EEG data recorded from the user who is...
Published in: IEEE Access ( Volume: 8)
Funding Agency:
Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Chung-Yen Liao (Member, IEEE) received the master’s degree from the Department of Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, in 2016. He is currently pursuing the Ph.D. degree with the Graduate Institute of Informatics, Chaoyang University of Technology. He is currently working with Sheng Hong Precision Technology Company Ltd. His research interests include EEG and brainwaves implementat...Show More
Chung-Yen Liao (Member, IEEE) received the master’s degree from the Department of Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, in 2016. He is currently pursuing the Ph.D. degree with the Graduate Institute of Informatics, Chaoyang University of Technology. He is currently working with Sheng Hong Precision Technology Company Ltd. His research interests include EEG and brainwaves implementat...View more
Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Shao-Kuo Tai received the Ph.D. degree in computer science from National Chung Hsing University. He has been working with Chunghwa Telecom Company Ltd., since 1990. He is currently an Assistant Professor with the Chaoyang University of Technology. His scientific research interests include the application of artificial intelligence in medicine, the deep reinforcement learning problems, and the computer science in biology a...Show More
Shao-Kuo Tai received the Ph.D. degree in computer science from National Chung Hsing University. He has been working with Chunghwa Telecom Company Ltd., since 1990. He is currently an Assistant Professor with the Chaoyang University of Technology. His scientific research interests include the application of artificial intelligence in medicine, the deep reinforcement learning problems, and the computer science in biology a...View more
Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Rung-Ching Chen (Member, IEEE) received the B.S. degree from the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in 1987, the M.S. degree from the Institute of Computer Engineering, National Taiwan University of Science and Technology, in 1990, and the Ph.D. degree in computer science sessions from the Department of Applied Mathematics, National Chung Tsing Unive...Show More
Rung-Ching Chen (Member, IEEE) received the B.S. degree from the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in 1987, the M.S. degree from the Institute of Computer Engineering, National Taiwan University of Science and Technology, in 1990, and the Ph.D. degree in computer science sessions from the Department of Applied Mathematics, National Chung Tsing Unive...View more
Faculty of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia
Hendry Hendry was born in Negara, Bali, Indonesia, in 1983. He received the B.S. degree in information technology from the Technology School of Surabaya, in 2005, the M.S. degree in information technology from the Tenth of November Institute of Technology, Surabaya, in 2009, and the Ph.D. degree in information management from the Chaoyang University of Technology, in 2018. From 2012 to 2014, he was the Director of the Bus...Show More
Hendry Hendry was born in Negara, Bali, Indonesia, in 1983. He received the B.S. degree in information technology from the Technology School of Surabaya, in 2005, the M.S. degree in information technology from the Tenth of November Institute of Technology, Surabaya, in 2009, and the Ph.D. degree in information management from the Chaoyang University of Technology, in 2018. From 2012 to 2014, he was the Director of the Bus...View more
Contents Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Chung-Yen Liao (Member, IEEE) received the master’s degree from the Department of Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, in 2016. He is currently pursuing the Ph.D. degree with the Graduate Institute of Informatics, Chaoyang University of Technology. He is currently working with Sheng Hong Precision Technology Company Ltd. His research interests include EEG and brainwaves implementation, machine learning, and artificial intelligence.
Chung-Yen Liao (Member, IEEE) received the master’s degree from the Department of Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, in 2016. He is currently pursuing the Ph.D. degree with the Graduate Institute of Informatics, Chaoyang University of Technology. He is currently working with Sheng Hong Precision Technology Company Ltd. His research interests include EEG and brainwaves implementation, machine learning, and artificial intelligence.View more
Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Shao-Kuo Tai received the Ph.D. degree in computer science from National Chung Hsing University. He has been working with Chunghwa Telecom Company Ltd., since 1990. He is currently an Assistant Professor with the Chaoyang University of Technology. His scientific research interests include the application of artificial intelligence in medicine, the deep reinforcement learning problems, and the computer science in biology and medicine.
Shao-Kuo Tai received the Ph.D. degree in computer science from National Chung Hsing University. He has been working with Chunghwa Telecom Company Ltd., since 1990. He is currently an Assistant Professor with the Chaoyang University of Technology. His scientific research interests include the application of artificial intelligence in medicine, the deep reinforcement learning problems, and the computer science in biology and medicine.View more
Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Rung-Ching Chen (Member, IEEE) received the B.S. degree from the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in 1987, the M.S. degree from the Institute of Computer Engineering, National Taiwan University of Science and Technology, in 1990, and the Ph.D. degree in computer science sessions from the Department of Applied Mathematics, National Chung Tsing University, in 1998. He was the Department Chair of information management with the Chaoyang University of Technology, from 2005 to 2007. He has served as the Dean of the Informatics College, CYUT, from 2007 to 2015. He was the Execution Director of the Institutional Research Office, CYUT, from 2015 to 2017. He has served as the President of the Taiwanese Association for Consumer Electronics, from 2012 to 2014. He was a Visiting Professor with the University of Central Florida, USA, and The University of Aizu, Japan, in 2012 and 2017, respectively. He is currently a Distinguished Professor with the Department of Information Management, Taichung, Taiwan. His research interests include network technology, domain ontology, pattern recognition and knowledge engineering, the IoT and data analysis, and applications of artificial intelligence. He has been a Fellow of IET, since July 2011.
Rung-Ching Chen (Member, IEEE) received the B.S. degree from the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in 1987, the M.S. degree from the Institute of Computer Engineering, National Taiwan University of Science and Technology, in 1990, and the Ph.D. degree in computer science sessions from the Department of Applied Mathematics, National Chung Tsing University, in 1998. He was the Department Chair of information management with the Chaoyang University of Technology, from 2005 to 2007. He has served as the Dean of the Informatics College, CYUT, from 2007 to 2015. He was the Execution Director of the Institutional Research Office, CYUT, from 2015 to 2017. He has served as the President of the Taiwanese Association for Consumer Electronics, from 2012 to 2014. He was a Visiting Professor with the University of Central Florida, USA, and The University of Aizu, Japan, in 2012 and 2017, respectively. He is currently a Distinguished Professor with the Department of Information Management, Taichung, Taiwan. His research interests include network technology, domain ontology, pattern recognition and knowledge engineering, the IoT and data analysis, and applications of artificial intelligence. He has been a Fellow of IET, since July 2011.View more
Faculty of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia
Hendry Hendry was born in Negara, Bali, Indonesia, in 1983. He received the B.S. degree in information technology from the Technology School of Surabaya, in 2005, the M.S. degree in information technology from the Tenth of November Institute of Technology, Surabaya, in 2009, and the Ph.D. degree in information management from the Chaoyang University of Technology, in 2018. From 2012 to 2014, he was the Director of the Business and Technology Incubator, Satya Wacana Christian University, Central Java, Indonesia. He is currently a Lecturer with the Faculty of Information Technology, Satya Wacana Christian University. His research interests include domain ontology, recommendation systems, knowledge engineering, and applications of artificial intelligence.
Hendry Hendry was born in Negara, Bali, Indonesia, in 1983. He received the B.S. degree in information technology from the Technology School of Surabaya, in 2005, the M.S. degree in information technology from the Tenth of November Institute of Technology, Surabaya, in 2009, and the Ph.D. degree in information management from the Chaoyang University of Technology, in 2018. From 2012 to 2014, he was the Director of the Business and Technology Incubator, Satya Wacana Christian University, Central Java, Indonesia. He is currently a Lecturer with the Faculty of Information Technology, Satya Wacana Christian University. His research interests include domain ontology, recommendation systems, knowledge engineering, and applications of artificial intelligence.View more