Analysis of Human Performance as a Measure of Mental Fatigue (original) (raw)
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Research of Human Fatigue and Measurement Parameters for Workability Assessment
Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference
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The Effort of a Decrease Fatigue Level on Computer User Employees at State University of Medan
2017
Computer• exham•tion due to long computer usage is a complex criter•ion which is not only concems plzy..•io/ogical and psychological fatigue but tile dominant relationship with the decline in physical performance, the .feelillg of fa.tigue, decreased motivation and decreased work productivity. This research was aim to developed an inter1•ention model for• decreasing occupational fatigue for computer user employees of the central administration bureau of Unimed. Tt was conducted by Quasi Expel'iment with design tif TwtJGroup DesignPt•etest-Posttest With Control Group sample wet•e 67 peoples. In tl!is design tl1ere were two groups determined consisting of 34 people as the fl•eatment group and 33 peoples as a control group. Data analysis was performed to see before and after intervention and its effect tm age, sex and years of service. The data were pr-ocessed by t-test analysis and f-test. The result of this research showed that there was influence intervention of EMRC toward decr...
IRJET- Mental Fatigue Detection
IRJET, 2020
Mental Fatigue is a major problem of our society, as it is the cause of many health problems and huge economic losses. Mental fatigue is the result of brain over-functioning and reaching its potential level depending upon the individuals. It can happen when you exert too much mental effort on a project or task. Analysis shows that mental fatigue leads to an inability to concentrate and a rise in easy mistakes. Unchecked, mental fatigue results in feeling stressed, irritated that you simply cannot sustain and even depressed. Washed-out employees will place themselves or others in danger, thus it is important for safety managers and supervisors to grasp the signs of fatigue. So, a robust system is needed which can detect mental fatigue and reduce the chance of mistakes and accidents. The current system identifies the blink behavior that will help in detecting mental fatigue. Our model detects the mental fatigue based on natural viewing situations where an individual will be asked some set of questions and mental fatigue tracking will be done simultaneously. In our model, we tried to make it very compact and portable. Here we have used two unique feature (i) instead of using any eye tracking technology, we are using a simple webcam to track the data from individual's eye (ii)Our project initially takes answers of a set of questions which are based on psychological behavior which will analyze the mental conditions of the subject. Haar cascade algorithms are employed for the blinking behavior where eye blinks are counted per minute so as to search out the fatigue level.. The advantage of our model is its simplicity, price effectiveness and portability.
Fatigue Detection Caused by Office Work with the Use of EOG Signal
IEEE Sensors Journal, 2020
Although the psychophysiological signs of fatigue are well known, automatic methods for the detection of fatigue in employees in specific working conditions are still lacking. Many people do repetitive work on computers and become fatigued; therefore, the detection of fatigue in employees can help prevent accidents and increase their work efficiency. In this paper, we propose an algorithm for the effective detection of fatigue which is based only on electrooculographic (EOG) signal. Three features were assessed: blink duration, blink amplitude, and time between blinks. To cause fatigue, the N-back test, lasting for 60 minutes, was carried out. The article presents the research results for 24 users. The effectiveness of the proposed system was measured by the accuracy of classification. The average classification accuracy was 0.93 for user-dependent mode and 0.89 for user-independent mode. The results of the conducted experiments indicated that assessing the three proposed features can help in the effective detection of fatigue in users.
4th Symposium on Occupational Safety and Health Proceedings Book, 2021
Background: Fatigue is a significant health and safety-related problem among workers. In general, it decreases performance and physical strength, causing incidents and accidents in operational situations. During military activities, soldiers often encounter severe conditions, which combined lead to fatigue manifestations affecting their health and performance. Continuous monitoring of their overall health status would prevent its adverse effects. Objective: This work aimed to present the preliminary results of a retrospective assessment of military training physiological recordings using an alert-based fatigue detection algorithm to validate its accurate functioning. Methods: Three case studies from soldiers participating in military training tests were recruited for evaluation. The referred algorithm was developed to manage fatigue through the combined assessment of physiological variables and determine different fatigue levels warnings to advisetimely interventions and prevent pot...
Defining and Measuring Fatigue
Journal of Nursing Scholarship, 1999
In response to a long history of problems with defining and measuring fatigue, the University of Kansas School of Nursing established a Center for Biobehavioral Studies of Fatigue Management to facilitate the study of fatigue in diverse populations. The purpose of this article is to review past efforts to define and measure fatigue and the conceptual problems relevant to currently used measures of fatigue. Several distinct characteristics and corresponding measures of fatigue are identified and a definition and framework for the study of fatigue are discussed. Future research on fatigue must attend to the conceptual distinctions among various measures and the measures of fatigue most appropriate to the goals of a study.