Author(s): Angie M. Ceniza, Anthonette D. Cantara
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Volume. 5 - Issue. 03 , March - 2016
Nowadays, it is almost impossible to imagine that anyone can live without computers. Computers are important due to the significant improvements they have made in work efficiency and productivity. Working with computers can be stressful, especially when a person is exposed to it for a long period of time. Knowing one’s stress level while using the computer can help the person adjust his time on the computer. This research aims to help everyone become more aware of their stress levels during their computer usage by the use of an algorithm that can detect stress levels. A series of interviews were conducted to further determine the appropriate data required in the formulation of the algorithm. Experts from various fields were interview respondents for the pre-development phase. On the other hand, the faculty and students of the Computer Science Department of the University of the San Carlos were the respondents for the testing in the post-development phase. The system was tested using data gathered from validated self-made Heart Rate (HR) and Galvanic Skin Response (GSR) sensors. The gathered data were used to create the final stress detection algorithm using fuzzy logic. The final system had an accuracy of 72% which proves that the system is capable of detecting stress at an acceptable rate.
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