This is a project on Hand Gesture and User Recognition
Reports and presentations can be viewed in the reports folder.
Hand gesture recognition is a very powerful tool in interaction with an electronic device. Such technology allows hands-free control over smartphones, computers, or even smart household appliances
This project takes data from UCI Machine Learning Repository
The target variable is different "Class" for gestures and "User". This project's main purpose is to train a model to recognize hand gestures based on the coordinates of 12 joints of the hand. Identifying users is an exploratory objective.
As the target variable is categorical, classification methods and models will be used to solve the problems above.
Python version:
Python 3.7.3
Pageckage version:
numpy==1.16.4
pandas==0.24.2
scikit-learn==0.21.2
shap==0.31.0
matplotlib==3.1.0
xgboost==0.90
seaborn==0.9.0