Abstract: There are six basic emotions (sad, happy, fear, angry, surprise, neutral) which can be classified based on different technologies such as image processing, signal processing etc. Facial Emotion detection, fMRI based emotion classification, EEG based emotion analysis are some of the varieties which can diagnose human emotions. In this paper the human emotion classification is done based on physical parameters. The experimental physical parameters are classified by back Propagation algorithm of Artificial Neural Network classifier after fuzzification of data. It is seen that a significant improvement has happened in value of specificity and sensitivity after fuzzification of data.

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-58
• Views: 0
• Downloads: 0

Abstract: Internet of things (IoT) has wide range of application and it has potential to make things easier to monitor and manage in our day to day life. This research has developed a prototypic implementation of an intelligent mailbox using the concepts of internet of things to facilitate monitoring of physical mailbox installed at homes or work places. The successful demonstration of prototype suggests that low cost embedded platforms such as Raspberry Pi 2 can be used to develop an economical, smart and easy to manage IoT applications. This project can be scaled up to commercial level for offering services to masses with further modifications

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-61
• Views: 0
• Downloads: 0