Accurate detection of driver urgency using state-of-the-art supervised and unsupervised classification algorithms

• Main Author: Kong,Yuanjie
• Other Authors: Su Rong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/167924
• Institution: Nanyang Technological University

This study is to determine the factors affect the accuracy of detection of driver face urgency situations under 2 different of State-of-the-Art classification algorithms, which are supervised and unsupervised.