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.

Given a new datapoint we have to predict the Activity

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
HAR_EDA.ipynb		HAR_EDA.ipynb
HAR_LSTM.ipynb		HAR_LSTM.ipynb
HAR_PREDICTION_MODELS.ipynb		HAR_PREDICTION_MODELS.ipynb
README.md		README.md