First Name:
Allison
Last Name:
Nelson
Major Department:
Computer Science
Thesis Director:
Rahman Tashakkori
Date of Thesis:
May 2013
The Microsoft Kinect device provides a cost-effective and feature-rich way for developers to produce applications with a Natural User Interface (NUI). This project uses Microsoft's Face Tracking API to produce an application that recognizes different types of facial expressions. The software overlays a 3D mesh on the user's face, following the Candide3 model. The software uses these points to classify the user's facial expression into one of five possible categories: happy, sad, surprised, angry, or kissing. This thesis will discuss the implementation details and the plans for future work.