No abstract

India is having rich heritage in music. our classical musical maestros understands and recognizes, ragas emotional influences on human being by changing the resonance of human body. Ragas like darbari and khamaj are found to defuse mental tension, particularly in the case of hysterics. Raga malhar pacifies anger, excessive mental, excitement & mental instability, Raga jaijaivanti have also been pound effective in curing mental disorders and calming the mind. Although it is require to verify this raga correlation systematically. By survey, it has been seen that no schemes have demonstrated yet. The proposed research presented in this paper is aimed to discover the science behind phonetics of raga and its effects on nerve system. This research is one step to explore scientifically the ancient way of alternative medicine i.e. raga therapy, which is a need of the day since current advances in technology and rising workload on human being is accompanied by stress relating to mental disorders. This research focuses on to study the influence of Indian classical ragas structure on human body while person is listening and experiencing an emotion in it by capturing EEG signals. The brainwave signals database will be collected and analyze. This research work addresses these objectives and aims to present a strong case which will help medical practitioners like psychiatrist, to treat patient by injecting music stimulus.

In this empirical paper, we had observed that Indian classical raaga music such as raag Khamaj and raag Darbari evokes different emotions. Raag Khamaj produces peace, happiness, cheerfulness and Raag Darbari produces sad and Depression mood. According to Indian aesthetics, each poem or musical composition produces a certain rasa (emotion). Local Binary Patterns (LBP) have been well exploited for facial image analysis in the existing work , the LBP histograms are extracted from local facial regions, and used as a whole for the regional description. In this empirical paper we studied LBP Histogram (LBP) bins for the task of facial expression recognition while listening to Indian classical ragas. Our experiments illustrate that the selected LBP bins provide a compact and discriminative facial expression representation. The selected LBP bins will be used to obtain the best recognition performance rate on collected database. The local binary pattern (LBP) operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood. Due to its discriminative power and computational simplicity, the LBP texture operator has become a popular approach in various applications, including visual inspection, image retrieval, remote sensing, biomedical image analysis, motion analysis, environment modeling, and outdoor scene analysis .Subjective evaluation shows that Indian classical raags evokes certain emotions & feelings which can be reflect on the human face and was evaluated using LBP approach.