Stress detection of the employees working in software houses using fuzzy inference

Rabia Abid, Nageen Saleem, Hafiza Ammaraa Khalid, Fahad Ahmad, Muhammad Rizwan, Jaweria Manzoor, Kashaf Junaid

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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.
Original languageEnglish
Pages (from-to)217-224
Number of pages8
JournalInternational Journal of Advanced Computer Science and Applications
Issue number1
Publication statusPublished - 1 Jan 2019


  • stress
  • fuzzy inference system
  • stress dectection
  • software house

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