Cover Image

The study of time domain features of EMG signals for detecting driver’s drowsiness

Fatigue or drowsiness is one of the major causes of traffic accidents in Malaysia. Physiological signals such as EMG is a useful input to detect drowsiness in drivers. The time domain features are easy to compute and well researched in the field of EMG hand motion detection. The focus of this paper...

Full description

Saved in:
Bibliographic Details
Main Authors: Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Noor Aisyah, Ab Rahman
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42244/1/The%20study%20of%20time%20domain%20features%20of%20EMG%20signals.pdf
http://umpir.ump.edu.my/id/eprint/42244/2/The%20study%20of%20time%20domain%20features%20of%20emg%20signals%20for%20detecting%20driver%E2%80%99s%20drowsiness_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42244/
https://doi.org/10.1007/978-981-33-4597-3_39
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://umpir.ump.edu.my/id/eprint/42244/1/The%20study%20of%20time%20domain%20features%20of%20EMG%20signals.pdf
http://umpir.ump.edu.my/id/eprint/42244/2/The%20study%20of%20time%20domain%20features%20of%20emg%20signals%20for%20detecting%20driver%E2%80%99s%20drowsiness_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42244/
https://doi.org/10.1007/978-981-33-4597-3_39

Similar Items