文章基本信息

标题：Psychological Stress Detection using Machine Learnin
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作者：MEGHANA D ; PADMASHREE S ; NAYANA R 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8093-8099
DOI：10.15680/IJIRCCE.2021.0907040
语种：English
出版社：S&S Publications
摘要：In this world of virtual life everything happens online and it is very important to keep a track of a person’s mental health due to the monotonous and pressurized routine.This not only affects the physical health but also the mental health. Mental health is a very important health factor which has to be maintained very well. The stress becomes a major factor of the mental health. Due to increased stress, it leads to many physiological health problems like heart problems, blood pressure, and respiratory problems and so on. It is very much necessary to detect this stress at the initial stage. Not only the detection but also the cause for stress has to be found out. The lines around the eyes, nose, lips, forehead and the movement of eyeballs, lips and head gives a clear picture about what is going on in the persons mind. By using these factors the stress can be detected easily. In this paper we propose an approach for the detection of stress along with the cause of stress by using the haar cascade algorithm for face detection, facial landmarks algorithm for the recognition of lines on the face, CNN a deep learning approach for the classification of stress based on the emotions which gives the cause of stress. Our system can be used for the real life applications like assessing the candidate’s reactions and presence of stress during an online class or an interview.
关键词：stress detection cause for stress;faceimage faciall and marks deep neural network haar cascade;LBPH