This is a ROS package that classifies human poses from bayes_people_tracker_logging in mongodb into human movements or non-human movements. The classification is based on poses and velocity of poses which are applied to KNN classifier. This package can only be run offline retrieving human poses from perception_people
Run this package by typing
rosrun human_movement_identifier classifier.py [train_ratio] [accuracy (1/0)]
where [train_ratio] is the training data ratio between 0.0 and 1.0.
Setting 0.9 makes 0.1 of all data will be used as test data.
[accuracy] is the option to choose between knowing the accuracy of this
classifier (1) or just wanting to test data from test data.