Open AccessStress Prediction and Detection Using IoT and Deep Learning: A Comprehensive Review
Author(s) -
Kuldeep Malik
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38291
Subject(s) - internet of things , stressor , anxiety , affect (linguistics) , heartbeat , stress (linguistics) , computer science , psychology , applied psychology , cognitive psychology , internet privacy , clinical psychology , computer security , psychiatry , communication , linguistics , philosophy
Stress is the part of life that is an unpleasant emotional state that individuals experience in situations like working for long hours ahead of a computer. Stress is often positive, but it can affect your health if it's chronic. Also Stress is a characteristic response to different pressure instigating factors which can prompt physiological and conduct changes. On the off chance that continues for a more extended period, stress can cause destructive consequences for our body. The body sensors alongside the idea of the Internet of Things can give rich data about one's psychological and actual wellbeing. The proposed work focuses the mind level and identifies enthusiastic changes that happened in an individual when he/she is under pressure, melancholy, or uneasiness. On recognizing, A hint message will be sent to their relatives so that they will assist that individual with emerging from his/her circumstances to fostering an IoT framework which can proficiently identify the anxiety of an individual and give an input which can help the individual to adapt to the stressors. Index Terms: Stress Detection, IoT, Heartbeat Rate, Sensors, Mind analysis & Monitoring.