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IoT Application: Human Emotions Management System
Gunti Spandan1, Tanveer Ahmed2, Sangmeshwar3, Rajesh S M4

1Gunti Spandan,,Department of Computer Science and Engineering, GITAM School of Technology, GITAM Bangalore Campus, Bangalore, India.
2Tanveer Ahmed, Department of Computer Science and Engineering, GITAM School of Technology, GITAM Bangalore Campus, Bangalore, India.
3Sangmeshwar, Department of Computer Science and Engineering, GITAM School of Technology, GITAM Bangalore Campus, Bangalore, India.
4Rajesh S M, Department of Computer Science and Engineering, GITAM.

Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1261-1265 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9971038620/2020©BEIESP | DOI: 10.35940/ijrte.F9971.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Mental stress, depression and anxiety are the major problems in our community, as these are the source of many health issues like hypertension, heart attack or even sudden deaths and self-annihilation. To reduce stress, it is necessary to predict it in its early stages before turning into chronic and irreversible damages. Generally, all these problems can be detected by counselling, questioner or observing a person for a long time. But we will focus on changes that occur in human body when he/she is in stress, depression or anxiety. We will monitor the heart beat and detect emotional changes occurred in a person when he/she is in stress, depression or anxiety. On detecting we will send an intimation message to their family member so that they will help that person to come out of his/her situation. 
Keywords: GSR Sensor, ECG, Stress, Anxiety, Depression
Scope of the Article: IoT