You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems

This is python code for the paper work published in IEEE Access. You can access to the paper through this link

Prerequisities

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

1. Python 2

pip install numpy pandas matplotlib scipy sklearn

2. Python 3

pip3 install numpy pandas matplotlib scipy sklearn

Running the code

1. Data Preprocessing: change the raw csv file names according to each volunteer's name and categorize them into activities

python3 data_preocessing.py

2. Data Filtering & Feature Extraction & Classification

python3 classfication.py

3. Data Visualization

python3 data_visualize.py

4. Visualization for Accuracy VS Number of Estimators

python3 accuracy_num_estimator_visualization.py

5. Error Case Visualization

python3 error_case_visualization.py