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Human_Activity_Recognition

Predict the human activity using smartphone's accelerometer and gyroscope readings

Overview

  • This project is to build a model that predicts the human 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. The data is recorded with the help of sensors (accelerometer and Gyroscope) in that smartphone. This experiment was video recorded to label the data manually.

  • Accelerometer and Gyroscope readings are taken from 30 volunteers(referred as subjects) while performing the following 6 Activities.

    • Walking
    • WalkingUpstairs
    • WalkingDownstairs
    • Standing
    • Sitting
    • Lying.

Problem Statement

Given a new datapoint we have to predict the Activity