Overview

The data for this project can be found in either the data directory or by following this link.

I chose to look at this data set from more than the traditional approach, shown in the Jupyter Notebook. Since various approaches were explored, the time consuming and computationally expensive parts of the analysis were run on AWS, on a c5d.4xlarge instance (32 Gib RAM, 16 Cores) to be specific. The setup file can be sourced on the instance to set up the appropriate environment.

About the Data

1. Title: Activity Recognition from a Single Chest-Mounted Accelerometer Updated Nov, 2013 , P. Casale, email: plcasale@ieee.org

2. Abstract: The dataset collects data from a wearable accelerometer mounted on the chest. Uncalibrated Accelerometer Data are collected from 15 participants performing 7 activities. The dataset is intended for Activity Recognition research purposes. It provides challenges for identification and authentication of people using motion patterns.

3. Relevant Information: --- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerometer Data are Uncalibrated --- Number of Participants: 15 --- Number of Activities: 7 --- Data Format: CSV

4. Dataset Information --- Data are separated by participant --- Each file contains the following information ---- sequential number, x acceleration, y acceleration, z acceleration, label --- Labels are codified by numbers --- 1: Working at Computer --- 2: Standing Up, Walking and Going up\down stairs --- 3: Standing --- 4: Walking --- 5: Going Up\Down Stairs --- 6: Walking and Talking with Someone --- 7: Talking while Standing

5. Reference Papers

   --- Casale, P. Pujol, O. and Radeva, P. "BeaStreamer-v0.1: a new platform for Multi-Sensors Data Acquisition in Wearable Computing Applications", CVCRD09, ISBN: 978-84-937261-1-9, 2009 available on https://www.researchgate.net/publication/257132489_BeaStreamer-v0.1_a_new_platform_for_Multi-Sensors_Data_Acquisition_in_Wearable_Computing_Applications?ev=prf_pub

   --- Casale, P. Pujol, O. and Radeva, P. "Human activity recognition from accelerometer data using a wearable device", IbPRIA'11, 289-296, Springer-Verlag, 2011 available on https://www.researchgate.net/publication/221258784_Human_Activity_Recognition_from_Accelerometer_Data_Using_a_Wearable_Device?ev=prf_pub

   --- Casale, P. Pujol, O. and Radeva, P. "Personalization and user verification in wearable systems using biometric walking patterns" Personal and Ubiquitous Computing, 16(5), 563-580, 2012 available on https://www.researchgate.net/publication/227192676_Personalization_and_user_verification_in_wearable_systems_using_biometric_walking_patterns?ev=prf_pub