Date of Publication :17th November 2022

Abstract: To implement and analyze the behaviour of Human-Dog Relation, by using MATLAB. It is fourth generation high level programming language and provides interactive environment for computation to be done numerically, visualizing and programming. It has many build-in commands and mathematics functions which help in calculations, generating plots and performing numerical methods. It is mostly used in 2-D and 3-D plotting and graphics, linear algebra, algebraic equations, nonlinear functions, statistics, data analysis, curve fitting and various other special functions. It is used all over the world as a computational tool especially in the field of engineering. Here we have used SVM (Support Vector Machine). SVM is one of the most popular supervised learning algorithms that is used for classification as well as regression problems. The main aim of SVM is to make the best line or decision boundary which can segregate n-dimensional space into classes so that we can easily point the new data point in correct category in future. This best line boundary is known as hyperplane. SVM selects the extreme points that can help in making the hyperplane. Study involves the sample size of ten. And the work is being done on this sample size to get the authentic and effective results. To implement SVM, we have used mamdani model and the facial recognition technique is used. The face of the dogs is taken for the practical implementation. To get the results of proposed work facial area is considered.

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