IJSEA Volume 13 Issue 11

Human Stress Level Prediction using Decision-based SVM

K. Sangeetha, S. Pavithra, R. Poornima, K. Thanujaa
10.7753/IJSEA1311.1016
keywords : EEG Signal, Data cleaning, Django server, Backend development and SVM.

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Stress is the root causes of every internal problem. There are numerous ways to describe the stress situation, which has been show to have a negative impact on the human body. Hence, stress has a server impact on the life of a working professional due to advanced prospects of the operation, time, it promotes depression and anxiety traps. We use a brain signal for dissection of stress. We introduced a noisy data with smoothing wind empirical function to overcome the threat of over fitting in prognosticate target variables. SVM methods were independently trained, tested, and redounded into certain accuracy.
@artical{k13112024ijsea13111016,
Title = "Human Stress Level Prediction using Decision-based SVM",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "13",
Issue ="11",
Pages ="72 - 74",
Year = "2024",
Authors ="K. Sangeetha, S. Pavithra, R. Poornima, K. Thanujaa"}