Stress Detection Using GSR and IOT

Abstract : Stress is one of the factors that affect human health in many aspects. It is considered as one of the culprits in increasing the risk of getting sick that could probably lead to critical physical or mental illnesses. Stress can be experienced everywhere and in different circumstances. Hence, stress should be controlled and managed by monitoring its progress or regress. Physiological information can be used to determine stress levels. One of these is the Galvanic Skin Response (GSR), that utilizes skin conductance which is known to be directly involved in the emotional behavioral regulation in humans. In this study, a method on how to determine stress when a person is engaged in mobile communication is proposed. An Android application was developed that is capable of determining the stress level of a person while doing SMS composition. GSR data were utilized and the performance of the proposed method was found of no significant difference with a commercially available device. Factors like phone size and period of texting was investigated and were found out that these only contribute an extremely low level of stress. The developed App could be used to determine stress levels especially if emotional conversations are considered.

 EXISTING SYSTEM :

 ? Health-monitoring systems are used for improving the quality of human healthcare with the help of fabricated biosensors, which are mostly noninvasive. ? Biosensors are commonly used in wearable health monitoring systems to measure physiological parameters such as pulse rate, respiration rate, skin conductivity, skin temperature.

 DISADVANTAGE :

 ? Pulse rate ,GSR and Gyroscope data’s is not stored in database so there is not possible to predict stress or anger for analyzing purpose. ? Need Deep sensing sensors to detect brain waves that is not available in existing system.

 PROPOSED SYSTEM :

 • In proposed system the GSR sensor sends data to Sends to IOT module and stores in server using POST technique. • In Proposed system we use Gyroscope, Temperature sensor and pulse sensor to detect brain waves activity and body temperature and heart rate and stores it in to cloud . • Using IOT all monitored data will be updated in Cloud and we can use machine learning algorithm to predict stress of patient .This system aims to protect life and also aids to live a healthy and normal life.

 ADVANTAGE :

 ? IOT technology used to store data in cloud so all data's will be secured and we can use long life for data analyze and prediction of stress ? Stress level detection using GSR and Gyroscope is advance sensor to detect stress of patient . ? Pulse rate used to detect whether he is high stress or not.