Electroencephalography (EEG) based drowsiness detection for drivers: A review
Vehicle accidents are rapidly increasing in many countries. Among many other factors, drowsiness is playing a major role in these accidents and systems which can monitor it are currently being developed. Among them, Electroencephalography (EEG) proved to be very reliable. Indeed, many EEG based drow...
Saved in:
| Main Authors: | Shameen, Z., Yusoff, M.Z., Saad, M.N.M., Malik, A.S., Muzammel, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21821 / |
| Published: |
Asian Research Publishing Network
2018
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042665528&partnerID=40&md5=fc717c4813813fa519ee3e6b598bfa1c http://eprints.utp.edu.my/21821/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Studying the response of drivers against different collision warning systems: A review
by: Muzammel, M., et al.
Published: (2017) -
A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
by: Balandong, R.P., et al.
Published: (2018) -
Detection and Analysis of Driver Drowsiness
by: Amirudin, N.A.B., et al.
Published: (2019) -
Detection and Analysis of Driver Drowsiness
by: Amirudin, N.A.B., et al.
Published: (2019) -
Motorcyclists safety system to avoid rear end collisions based on acoustic signatures
by: Muzammel, M., et al.
Published: (2017)