Simulation Controlled for Stress Management and Detection Using IoT

Simulation Controlled for Stress Management and Detection Using IoT
Author(s):
Nikhil N. Sadawarti, Isheeta Rohanker, Chinmay Joshi, Shruti Baghele, Dr. LEENA PATIL
Keywords:
Stress Detection, Health, EEG, GSR, ECG, Monitoring, Affective Computing.
Abstract
Depression is a part of life. Unpleasant emotional states that people experience in their emotional lives, such as working long hours in front of a computer. Depression can be beneficial, but it can also be detrimental to your health if it persists. Therefore, it is important to tell a person about his or her risky lifestyle and even to warn him or her before a major problem arises. To detect early depression, the Deep Learning (DL) method, using real-time data and measuring heart rate, can. determine a person's emotional state, and the Internet of Things (IoT) is used to educate patients about their depressive conditions. Depression is a state of emotional or psychological distress caused by internal or external events. The human body responds to stress by releasing complex hormones and substances such as adrenaline and cortisol. Borderline Personality Disorder affects those under high blood pressure (BPD). Severe depression in people who have already been diagnosed with a borderline personality disorder or schizophrenia can be dangerous
Article Details
Unique Paper ID: 153668 Publication Volume & Issue: Volume 8, Issue 8 Page(s): 200 - 203
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