Analyzing Passive BCI Signals to Control Adaptive Automation Devices
Brain computer interfaces are currently considered to greatly enhance assistive technologies and improve the experiences of people with special needs in the workplace. The proposed adaptive control model for smart offices provides a complete prototype that senses an environment’s temperatu...
Main Authors: | Ghada Al-Hudhud, Layla Alqahtani, Heyam Albaity, Duaa Alsaeed, Isra Al-Turaiki |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/14/3042 |
Similar Items
-
An Experiment of Ocular Artifacts Elimination from EEG Signals using ICA and PCA Methods
by: Arjon Turnip, et al.
Published: (2014-12-01) -
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study
by: Juan Cheng, et al.
Published: (2019-01-01) -
A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals
by: Chao-Lin Teng, et al.
Published: (2021-10-01) -
Electrooculograms for Human–Computer Interaction: A Review
by: Won-Du Chang
Published: (2019-06-01) -
Removing the Interdependency between Horizontal and Vertical Eye-Movement Components in Electrooculograms
by: Won-Du Chang, et al.
Published: (2016-02-01)