Predicting Activities of Daily Living (ADL) Using Accelerometer Data

Exploratory application of classification models for wrist-worn and waist-mounted accelerometer data.

Data

Download datasets below before running notebook:

• Dataset for ADL Recognition with Wrist-worn Accelerometer Data Set
• Human Activity Recognition Using Smartphones Data Set

Code

Create a virtualenv to run notebook. All code was run on Python 3.4.2.

# create a virtual environment, "activity-prediction"
$ mkvirtualenv --python=/usr/local/bin/python3 activity-prediction

# install required modules
$ pip install -r requirements.txt

# start ipython notebook
$ workon activity-prediction
$ ipython notebook