An enhanced ensemble deep random vector functional link network for driver fatigue recognition

• Main Authors: Li, Ruilin, Gao, Ruobin, Yuan, Liqiang, Suganthan, Ponnuthurai Nagaratnam, Wang, Lipo, Sourina, Olga
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Electroencephalogram; Ensemble deep random vector functional link
• Online Access: https://hdl.handle.net/10356/174542
• Institution: Nanyang Technological University

This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL network from raw EEG signals, two strategies were exploited in this work. Speci...