IJBTT

Depression Scale Analysis by Machine in the Field of Artificial Intelligence

	International Journal of Engineering Trends and Technology (IJETT)
	© 2018 by IJETT Journal
	Volume-59 Number-3
	Year of Publication : 2018
	Authors : Abirami.S, Thirugnanam.P
	DOI :  10.14445/22315381/IJETT-V59P223

Citation 

Abirami.S, Thirugnanam.P"Depression Scale Analysis by Machine in the Field of Artificial Intelligence", International Journal of Engineering Trends and Technology (IJETT), V59(3),130-134 May 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Depression is a major disorder, found by individuals everywhere throughout the world. Many people suffer a lot because of depression in personal life as well as in society. As it was a fast growing environment in near future we may get chance that machine will work together with human in the entire field. In near scenario, in absence of human work will be delay. BT in far future machine will occupy the human place in absence of it. In that manner machine should understand both inner and outer feeling of human. The main aim of this paper is to find depression level of human by machine. For finding depression by machine some of the techniques and algorithm have been used. Video clips is given as input.firstly,motion history histogram(MHH) is used in order to separate features in audio and video.secondly,local binary pattern and edge orientation histogram is used in visual side to find outer most part of an image.thirdly,low level descriptor and pitch detecting algorithm is used in audio side to find the voice level of human.finally,ridge regression algorithm assumes a noteworthy part in output side which is used to combine and compare the data’s from both visual and vocal side and produce an result.

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Keywords
depression, motion history histogram, ridge regression algorithm, dynamic features, modality.