Driver drowsiness detection using image processing and machine learning - Fahad Rafiq (3169) (Islamabad (Unpublished), 2022)
Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences
Includes bibliographical references.
Thesis supervisor: Dr. Faraz Akram
Thesis (M.S.)--Riphah International University, 2022
English
Keywords: Electrical Engineering -- Eye aspect ratio feature -- Image frames extraction -- Public circularity feature -- FEAS