Computer Vision: towards an automated recognition of communicative gestures

Ing. Donato Di Pierro

Project type: Software System

Technologies: C++(ANSI), OpenCV, MS Visual Studio 2010, Matlab

To make the communicative meaning of human gestures be studied, it is needed to collect large amounts of data. The software system I developed, make it an easyest job due to the automated analysis of the human gestures starting from a video.


The developed software system can automatically recognize and classify human communicative gestures done by a people talking and moving his hands in front of a camera. The purpose of this thesis work is to make possible to study correlation between highlights gesture and speech.

Business Context

The developed software system is for researchers in communication and human-machine interaction.


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© 2002 - Donato Di Pierro. All rights reserved.