Classification of Human Activities Using Support Vector Machine—A Review

Abstract

AbstractThis paper presents work on human activity detection dependent on smartphones with installed sensors and learning algorithms that was done not long ago. Perceiving human activity has earned a great amount of interest and has brought noteworthy research in recognizing logical data helpful to human activity recognition. Smartphones have installed inbuilt sensors that are fit to detect logical data of its clients, having a wide range capability of network connections. Installed sensors which include gyroscope sensor, tri-axial linear accelerometer, tri-axial accelerometer and direction sensors are utilized for movement information assortment. In this paper, we will talk about the classification algorithms used for classification of human activity and existing innovations relating to smartphone-based research in which human activity recognition will be examined.KeywordsHuman activity recognitionMachine learningClassificationSupport vector machine