Measurement of effect of music on human brain and consequent impact on attentiveness and concentration during reading

Abstract

Abstract Objective of the system is to measure the effect of sound wave/music sample(s) on human brain while concentrating on study and reading some texts. The idea is to discover some interesting measure from the recorded image-base, by Magnetic Resonance Imaging (MRI)/Computer Tomography(CT) scan, through correspondence with the metadata of music sample i.e. music spectrum analyzed through Digital Signal Processing and further to relate them transitively with the physical feedback given by the person who is under testing. In the model formulation of the problem, first the parameters/performance indicators in Music Information Retrieval (MIR) are identified causing maximum impact while reading any content attentively. The concentration level is tried to be identified through MRI/CT Scan through follow up testing. The reading content can either be texts or images since music is already in the background. If reading content includes videos/music then there will be clash of interest because of the presence of background music. The data has to be collected from each and every training music sample and measured correspondence through images of brain developing a tabular form including the information of each parameters and correspondence through MRI/CTS images. The parametric identification is done using Digital Signal Processing toolbox in MATLAB and the MRI/CTS images are to be corresponded through Digital Image Processing. This dynamical system initially employs generate and test mechanism with variant music sample and measure impact on small population of human being producing a sound warehouse. Trends are then analyzed and discovered from this data warehouse by means of Data Mining techniques by constructing the association rule. This is first step towards construction of rule base. Once the rule base is built, the knowledge base is constituted and hence Production System is developed. This correspondence, when established with a reasonable degree of aspiration from the sound warehouse, it is applied to examine how much accurately the association rule is working for various test cases. The System is trained with extended music database so as to correspond the song type and attention level which may yield different result for different human being. Parametric identification of stylometry plays an important role. In the solution process, the system is tested with the similar song type and the texts/contents on different human being. The evaluation/assessment of reading content of various human beings with background music and without background music are put under a comparative study. The limitation of the system is the feedback of the human being regarding their own perceived attention level is taken into consideration in pursuit of perfection. However, resolution can be made with the results obtained through comparative study. The major motivation behind this work is the earlier work to develop cognitive system that can treat patient of non –surgical category (both psychological and non-psychological) using Music Therapy treatment convention. The successful application of it may well open the scope of utilizing music as an effective tool in various human needs viz. relaxation, temperament restoration, therapeutic needs and concentration building of children with learning, emotive and developmental difficulties.