EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches-Reference-Cited by-同舟云学术

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EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches

Published:2022-10 Issue:10 Volume:18 Page:6602-6609
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Subasi Abdulhamit¹^ORCID,Saikia Aditya²,Bagedo Kholoud³,Singh Amarprit⁴,Hazarika Anil²^ORCID

Affiliation:

1. Institute of Biomedicine, Faculty of Medicine, University of Turku, Turku, Finland

2. Department of Physics, Cotton University, Guwahati, India

3. Department of Computer Science, Effat University, Jeddah, Saudi Arabia

4. Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9828547/09757838.pdf?arnumber=9757838

Reference37 articles.

1. Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals

2. An Analytic Wavelet Transform With a Flexible Time-Frequency Covering

3. Computer-aided obstructive sleep apnea detection using normal inverse Gaussian parameters and adaptive boosting

4. Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles

5. Real-Time Implementation of a Multidomain Feature Fusion Model Using Inherently Available Large Sensor Data

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