A Model of Socially Connected Things for Emotion Detection

It has been observed that when a larger number of people who are the participants of a social network can give more specific answer of complex problems than that of a small group of knowledgeable person or an individual.[1]. a large number of research work is going on to connect the concept of social network with the existing IoT concept so as to give a social IoT network. The social network will be a network of smart things which are clustered on the basis of a relation. in our work it is not a smart object rather a smart social object will make some difference in the improvement of the health care. The major goal of the work is to give a model of monitoring the condition of the patient and prediction of his or her health status. The approach of the work is based on various sensors. These heterogeneous sensors will give the data as a social network of things to form the social internet of things network. the sensor used here are PPG and GSR for it's ease to use and accuracy.