Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems

Azim, Tayyaba; Jaffar, M. Arfan; Mirza, Anwar M.

doi:10.1016/j.asoc.2014.01.020

Cited by 108 publications

(61 citation statements)

References 3 publications

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“…A lapse of attention in any one of these environments will cause human casualties or/and property losses. Commonly, there are three ways to monitor the vigilance level: the methods based on behavior performance Wu and Chen;Azim et al, 2014;Cyganek & Gruszczyń ski, 2014;Jo, Lee, Park, Kim, & Ki, 2014;McIntire, McKinley, Goodyear, & McIntire, 2014) and the analysis based on physiological signals (Borghini et al, 2014;Dissanayaka et al, 2015;Garcés Correa et al, 2014;Hashemi et al, 2014;Jagannath & Balasubramanian, 2014;Lee et al, 2014;Li & Chung, 2014;Singh et al, 2013).…”

Section: Review Of the Similar Workmentioning

confidence: 99%

“…Currently, drowsiness detectors using video based technology that track facial and/or head movements and eye gaze monitoring are being widely studied (Azim et al, 2014;Cyganek & Gruszczyń ski, 2014;Jiménez-Pinto & Torres-Torriti, 2013;Jo et al, 2014;McIntire et al, 2014;Wu & Chen, 2008). Jo et al (2014) proposed a driver drowsiness detection method by fusing information from both eyes providing robust performance under a variety of conditions.…”

Section: Review Of the Similar Workmentioning

confidence: 99%

“…The ability of a person to maintain alert and make decisions quickly decreases considerably during the drowsiness stage (Garcés Correa, Orosco, & Laciar, 2014). Fatigue driving under drowsy even sleepy state is an important determinant of traffic accidents (Azim, Jaffar, & Mirza, 2014;Cyganek & Gruszczyń ski, 2014;Forsman, Vila, Short, Mott, & Van Dongen, 2013;Hashemi, Saba, & Resalat, 2014;Hu & Zheng, 2009;Jagannath & Balasubramanian, 2014;Jo, Lee, Park, Kim, & Ki, 2014;Li & Chung, 2014). In addition to vehicular safety concern, drowsiness and fatigue are very important issues for workers and employees in the fields of industrial manufactories (Tucker, Folkard, & Macdonald, 2003), power plants (Baker et al, 1994), navigation, aviation (Borghini, Astolfi, Vecchiato, Mattia, & Babiloni, 2014) and medical service.…”

Section: Introductionmentioning

confidence: 97%

“…Besides, ocular measures, such as eye movement and blink tracking are considered as promising ways for monitoring drowsiness (Hu & Zheng, 2009;Li & Chung, 2014). Some of these studies have been tested on practical systems such as brain-computer interface for monitoring and warning of driver's drowsiness (Azim et al, 2014;Hashemi et al, 2014;Lal et al, 2003;Lin et al 2008).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning

Chen

Zhao

Zhang

et al. 2015

Expert Systems with Applications

163

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Section: Review Of the Similar Workmentioning

confidence: 99%

Section: Review Of the Similar Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning

Chen

Zhao

Zhang

et al. 2015

Expert Systems with Applications

163

View full text Add to dashboard Cite

“…Klausner and colleagues [7] developed a guideline software that can assist to provide health care system with optimal clinical practice. A useful fuzzy expert system was developed by Azim and colleagues [8] for the detection of fatigue among drivers in order to prevent road accidents. Alder and colleagues [9] conducted a review on different expert systems that have been developed and applied Rheumatology.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)

Oluwagbemi

Abimbola

2016

Informatics in Medicine Unlocked

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a b s t r a c tEbola Virus Disease (EVD) also known as the Ebola hemorrhagic fever is a very deadly infectious disease to humankind. Therefore, a safer and complementary method of diagnosis is to employ the use of an expert system in order to initiate a platform for pre-clinical treatments, thus acting as a precursor to comprehensive medical diagnosis and treatments. This work presents a design and implementation of informatics software and a knowledge-based expert system for the diagnosis, and provision of recommendations on the appropriate type of recommended treatment to the Ebola Virus Disease (EVD).In this research an Ebola fuzzy informatics system was developed for the purpose of diagnosing and providing useful recommendations to the management of the EVD in West Africa and other affected regions of the world. It also acts as a supplementary resource in providing medical advice to individuals in Ebola -ravaged countries. This aim was achieved through the following objectives: (i) gathering of facts through the conduct of a comprehensive continental survey to determine the knowledge and perception level of the public about factors responsible for the transmission of the Ebola Virus Disease (ii) develop an informatics software based on information collated from health institutions on basic diagnosis of the Ebola Virus Disease-related symptoms (iii) adopting and marrying the knowledge of fuzzy logic and expert systems in developing the informatics software. Necessary requirements were collated from the review of existing expert systems, consultation of journals and articles, and internet sources. Online survey was conducted to determine the level at which individuals are aware of the factors responsible for the transmission of the Ebola Virus Disease (EVD). The expert system developed, was designed to use fuzzy logic as its inference mechanism along with a set of rules. A knowledge base was created to help provide diagnosis on the Ebola Virus Disease (EVD). The Root Sum Square (RSS) was adopted as a fuzzy inference method. The degree of participation of each input parameter was shown using the triangular membership function and the defuzzification technique used is the Center of Gravity (CoG).The resulting software produced a user-friendly desktop-based, Windows-based, application and the tools used were explained in the results section in three (3) separate phases. First, a comprehensive online survey was conducted over a period of about 3-9 months. 100 Participants participated in the survey on the perception and knowledge analysis of different individuals about Ebola Virus Disease (EVD) transmission factors. 31% of the participants didn't know that there is presently no cure for Ebola. 28% believed that there is presently a cure for Ebola. 43% agreed that Ebola is both air-borne and water-borne, while 33% disagreed, 24% do not know. 23% believed that insects and mosquitoes can help in transmitting the Ebola Virus Disease (EVD), while 30% were completely ignorant. We noticed that ignorance was a major limiti...

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Materials, Devices, and Systems of On‐Skin Electrodes for Electrophysiological Monitoring and Human–Machine Interfaces

et al. 2020

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On‐skin electrodes function as an ideal platform for collecting high‐quality electrophysiological (EP) signals due to their unique characteristics, such as stretchability, conformal interfaces with skin, biocompatibility, and wearable comfort. The past decade has witnessed great advancements in performance optimization and function extension of on‐skin electrodes. With continuous development and great promise for practical applications, on‐skin electrodes are playing an increasingly important role in EP monitoring and human–machine interfaces (HMI). In this review, the latest progress in the development of on‐skin electrodes and their integrated system is summarized. Desirable features of on‐skin electrodes are briefly discussed from the perspective of performances. Then, recent advances in the development of electrode materials, followed by the analysis of strategies and methods to enhance adhesion and breathability of on‐skin electrodes are examined. In addition, representative integrated electrode systems and practical applications of on‐skin electrodes in healthcare monitoring and HMI are introduced in detail. It is concluded with the discussion of key challenges and opportunities for on‐skin electrodes and their integrated systems.

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Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems

Cited by 108 publications

References 3 publications

Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning

Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning

Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)

Materials, Devices, and Systems of On‐Skin Electrodes for Electrophysiological Monitoring and Human–Machine Interfaces

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