Work

Driver Fatigue Detection using CWT-Extracted Features and a Deep Learning Approach (CNNLSTM)

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)

DOI: 10.1109/becithcon64160.2024.10962632

Authors: Md. Wajed Ali, Tanvir Ahmmed, Md Al Emran, Dipon Roy, Kawsar Ahmed Refat, Robiul Khan

Institutions: Pabna University of Science and Technology, OTH Regensburg

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409537079

FWCI: 7.42

Cites: 11

Cited by: 9

Related to: 10