Analysis of EEG Features to Control Multiple Devices
Brain-Computer Interface (BCI) or Human-Machine Interface (HMI) now becoming vital engineering and technology field which applying EEG technologies to provide Assistive Technology (AT) to humans. This paper presents the analysis of EEG signals from various human cognitive or mental states to determi...
Main Authors: | Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, M. S., Jadin, M. S., Najib |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Universiti Malaysia Pahang
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/22385/ http://umpir.ump.edu.my/id/eprint/22385/1/25.%20Analysis%20of%20EEG%20Features%20to%20Control%20Multiple%20Devices.pdf |
Similar Items
-
Analysis of EEG features for brain computer interface application
by: Rashid, Mamunur, et al.
Published: (2019) -
Offline EEG-based DC Motor Control for Wheelchair Application
by: Norizam, Sulaiman, et al.
Published: (2019) -
Offline LabVIEW-based EEG Signals Analysis to Detect Vehicle Driver Microsleep
by: Norizam, Sulaiman, et al.
Published: (2019) -
Offline LabVIEW-based EEG signals analysis for human stress monitoring
by: Norizam, Sulaiman, et al.
Published: (2018) -
Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)