This is pythond code for the paper work published in 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). You can access to the paper through this link

• Language: Python
• Required Packages: pandas, matplotlib, numpy, sklearn, scipy, tensorflow
• To install the required packages except tensorflow, type the following command:

1. Python 2

pip install numpy pandas matplotlib sklearn scipy

2. Python 3

pip3 install numpy pandas matplotlib sklearn scipy

For installation of tensorflow, please visit the official tensorflow webpage link

• accelerometer (x,y, and z) and gyroscope (x, y, and z) from 12 participants
• asked participants to walk approximately 45 seconds, wearing smartwatch
• data sampling rate: 100 Hz

1. Run Deep Neural Network for User Classification

python3 DNN.py

2. Run K-Nearest Neighbor classifier for User Classification

python3 KNN.py

3. Run Random Forest Classifier for User Classification

python3 RFC.py