![]() Each person performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) wearing a smartphone (Samsung Galaxy S II) on the waist. The experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. ![]() This experiment was video recorded to label the data manually.The data recorded using the sensors(Gyroscope and accelerometer) in a smartphone, they have captured '3-axial linear acceleration'(tAcc-XYZ) from accelerometer and '3-axial angular velocity' (tGyro-XYZ) from Gyroscope with several variations. The data is recorded with the help of sensors (accelerometer and Gyroscope) in that smartphone. This project is to build a model that predicts the human activities(6 activities) such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying.This dataset is collected from 30 persons(referred as subjects in this dataset), performing different activities with a smartphone to their waists. ![]()
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