Abstract
Diversified approaches for development of braking assistant system have been employed to assure the safety of driver and pedestrian. Recently, neurophysiological studies related to driver's mental state during driving under specific conditions have been a growing interest for development of driving assistant system based on brain-computer interface (BCI). In this article, the feasibility of online braking assistant system which could detect driver's braking intention based on BCI is investigated. The results of the online experiment verified that driver's braking intention could be robustly detected based on neurophysiological characteristics proposed by previous study. The performance of the online experiment was evaluated based on reaction times for emergency situations and detection accuracy.
| Original language | English |
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| Title of host publication | Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 887-891 |
| Number of pages | 5 |
| ISBN (Print) | 9781479986965 |
| DOIs | |
| Publication status | Published - 2016 Jan 12 |
| Event | IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong Duration: 2015 Oct 9 → 2015 Oct 12 |
Other
| Other | IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon Tong |
| Period | 15/10/9 → 15/10/12 |
Keywords
- Brain-Computer Interface (BCI)
- Braking Assistant
- Electroencephalography (EEG)
- Online Experiment
- Predicting Upcoming Behavior
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Information Systems and Management
- Control and Systems Engineering