Title: Designing a graphical user interface for the decision support system of driving fatigue

Authors: Mohammad Firdaus Ani; Seri Rahayu Kamat; Minoru Fukumi; Mohamad Minhat; Abu Abdullah; Kalthom Husin

Addresses: Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia; Unit of Manufacturing Technology, Kolej Komuniti Taiping, 34600, Kamunting, Perak, Malaysia ' Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia ' Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia ' Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia ' Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia ' Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

Abstract: The paper presents the continuity study from the previous work, which designing the graphical user interface (GUI) for a decision support system (DSS) of driving fatigue. As driving fatigue has been recognised as one of the significant contributory factors to road accidents and fatalities in Malaysia, the author developed the DSS that providing analysis, and proving solutions and recommendations to the road users. In other words, the DSS acts as the advisory and decision-maker tool. In designing the GUI for a DSS, the Django based on Python programming language was used by the authors. There are five main GUI that has been designed in this study: admin GUI user profile and driving information GUI, regression model GUI, risk factor analysis GUI and superuser GUI. Further testing and validation of the graphical user interface for the DSS are suggested before it is used commercially.

Keywords: graphical user interface; GUI; driving fatigue; decision support system; DSS; Python; SQLite; regression model; Django; command prompt; fuzzy inference system; SciKit-Fuzzy.

DOI: 10.1504/IJAMECHS.2021.115401

International Journal of Advanced Mechatronic Systems, 2021 Vol.9 No.1, pp.30 - 37

Received: 21 Oct 2019
Accepted: 14 Sep 2020

Published online: 21 May 2021 *

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