GSoC/GCI Archive
Google Summer of Code 2014 Point Cloud Library (PCL)

Human action recognition from skeleton information

by Alina Roitberg for Point Cloud Library (PCL)

Recognizing actions is crucial for intuitive human-computer-interaction. In a setting where a robot and a human and a robot are intended to communicate, natural body gestures is a much efficient and time-saving commnication interface. The core of this project is to apply machine learning algorithms on skeletal data obtained from an RGB-D sensor to automatically detect current activity of the user and to develope a program that would recognize human activities in real-time.