Human Activity Recognition Using Accelerometer, Gyroscope and Magnetometer Sensors: Deep Neural Network Approaches

Nowadays, smartphone with various extraordinary and notable sensors makes new invigorating open entryways for Data Mining and Machine Learning; other than makes another exploration field for Human Activity Recognition a.k.a. HAR. Such development advanced the manufacture of an assortment of useful datasets, which encourages the investigation of certainties of different research area. The MHEALTH, a multivariate time series dataset is such an optional dataset that was arranged in order to encourage the investigation with respect to HAR. The dataset includes data with respect to twelve human activities oppressing ten volunteers. Sensors were utilized for the information amassing process to be specific Accelerometer, Gyroscope, Magnetometer and Electrocardiogram signal. This paper plays out a relative report on HAR process as far as…