Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals

Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals

The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors’ main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can communicate with personal electroencephalography (EEG)...

Full description

Bibliographic Details
Main Authors: Jinghai Yin, Jianfeng Hu, Zhendong Mu
Format: Article
Language:English
Published: Wiley 2016-10-01
Series:Healthcare Technology Letters
Subjects:
electroencephalography
road traffic
cloud computing
fuzzy logic
entropy
support vector machines
accident prevention
medical signal detection
mobile driver fatigue detection network
electroencephalograph signals
traffic safety
middleware architecture
process unit
personal electroencephalography node
cloud server
android application
fuzzy entropy
support vector machine
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0053

Internet

https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0053

Similar Items