IJSRD || National Conference on Technological Advancement and Automatization in Engineering || January 2016 ISSN:2321-0613 ©IJSRD 2016 Published by IJSRD 180 A IoT Model for Examining and Mining the Relationship between Music and Emotion Yogesh Prabhakar Pingle Assistant Professor Department of Information Technology Vidyavardhini’s College of Engineering & Technology,Vasai, Maharashtra, India Abstract— In the classification of Indian aesthetics, there are nine emotions called ‘nava rasa’ and it also includes the aesthetic evaluations of three cultural groups based on Indian classical audio stimuli. Predicting that cultural and learning issues are essential to the musical experience, the Indian classical music carries intrinsic stimulus features such as moods and emotions in virtue of the way its musical notes are arranged. An IOT model for understanding the relation between music and emotions is based on three level descriptions such as the biological processes of the brain, the conceptual mapping of the experience and the first person account of the appreciation of music experience. The idea of imposing the Indian classical music might have the power to invoke in the listener its intrinsic affective properties, even if the listener might not be aware of such influence. IOT is a concept in which machine interact with the human world. This interaction is possible due to sensors. We would try to observe the effect of music on the person with the help of graph and data received from the sensors. Key words: IoT Model, Relationship between Music and Emotion I. INTRODUCTION Of all the problems that may confront a music psychologist, none is perhaps more important than to explain listeners’ reactions to music. Some kind of musical experience is the basis for every musical activity, regardless of whether it involves composing, performing, or listening to music. Several studies have suggested that the most common goal of musical experiences is to influence emotions: People use music to change emotions, to release emotions, to match their current emotion, to enjoy or comfort them, and to relieve stress. Yet, music’s apparent ability to induce strong emotions is a mystery that has fascinated both experts and lay people at least since ancient Greece. To explain how music can induce emotions in listeners is all the more important since music is already used in several applications in society that presume its effectiveness in inducing emotions, such as film music, marketing, and therapy. Research indicates that people value music primarily because of the emotions it evokes. Yet, the notion of musical emotions remains controversial, and researchers have so far been unable to offer a satisfactory account of such emotions. We argue that the study of musical emotions has suffered from a neglect of underlying mechanisms. Specifically, researchers have studied musical emotions without regard to how they were evoked, or have assumed that the emotions must be based on the “default” mechanism for emotion induction, a cognitive appraisal. Here, we present a novel theoretical framework featuring change in facial expressions or mood after listening to music. We propose that these expressions or mood differ in every individual regarding such characteristics as their information focus, key brain regions, cultural impact, and dependence on musical structure. By synthesizing theory and findings from different domains, we are able to provide a framework representing the relationship between music and emotions. Music is an important element to a person’s emotions. Hence Music helps us in identifying the person’s mood at the moment. Using the right music, the emotions of the person can be altered. Music comprises of different pitches and tempos. So our solution approach would be to alter music and make people listen to the music and analyze their response. The idea of this project is to claim how music can cause a distinct and recognizable behavioral and physiological pattern in different individual listeners. The paper illustrates about the current research on the linkage between music and emotions , discusses their relationship as well as whether or not the emotions expressed by a piece of music evoke arousal of the same emotion in the different individual listener. This paper will outline the psychological relationship between human effect and music. It draws upon and has significant implications for such areas as philosophy, musicology and aesthetics, as well the act of musical composition and performance. Before making the database, we conducted a small experiment among us. We listened to 10 different songs and note down our individual emotion for that song. We concluded that music can evoke different emotion in different listeners. Now, after making the database, we are going to make individual users listen to a song and match it with the database. In this way, if the user is a patient of stress-issues or any such medical conditions, we can be able to detect it with our match and provide a therapy or give recommendation for the same.