Stress Detection of the Employees Working in Software Houses using Fuzzy Inference
| Autor: | Muhammad Rizwan, Rabia Abid, Hafiza Ammaraa Khalid, Nageen Saleem, Kashaf Junaid, Jaweria Manzoor, Fahad Ahmad |
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| Rok vydání: | 2019 |
| Předmět: |
Quality of work
Anxiety level Fuzzy inference General Computer Science Computer science business.industry Skin temperature 02 engineering and technology Stress level Software 020204 information systems 0202 electrical engineering electronic engineering information engineering Increased stress 020201 artificial intelligence & image processing Operations management business Working environment |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 10 |
| ISSN: | 2156-5570 2158-107X |
| Popis: | In the modern era where the use of computer systems in software houses is mandatory and in various organizations has increased, it has given rise to the level of stress of employees working for hours at the system as well. Employees working in software houses are prone to have increased stress and anxiety level. It is important to detect the stress level of the employees so that various solutions can be applied in the working environment to get a better output. This paper would be beneficial for detecting the stress level of employees working on the computer using various inputs i.e. heart rate, pupil contraction, facial expressions, skin temperature, blood pressure, age and number of hours working on the computer. This research would indicate the raised level of stress of employees and this indication can be used to increase the yield of the quality of work and satisfaction of employees working in a particular organization. According to the levels of stress, within the working environment, during break hours various steps can be taken as a solution and applied during break hours of employees to ensure maximum satisfaction and the improved quality of work. |
| Databáze: | OpenAIRE |
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