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An approach for implementation and optimization of algorithms for Drowsiness Detection


Article Information

Title: An approach for implementation and optimization of algorithms for Drowsiness Detection

Authors: T. O. Ejidokun, T. K. Yesufu, E. Buraimoh

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 3

Language: English

Categories

Abstract

This study proposed a framework for a typical Drowsiness Detection System (DDS) with a view of achieving a dynamic optimization of computer vision tasks for significant improved performance. The study used a parallel solution approach to split computational task in to a number of different functions which is handled by processors. Furthermore, algorithmic functions where prioritized in order to enable sequential processing of data and also specify the appropriate order to which task are executed. Parameter and criterions of evaluation were established so as to provide a comprehensive qualitative assessment of implemented techniques.


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