Handy is a configurable gesture recognition system using Microsoft Kinect developed as my Master Thesis at Politecnico di Milano. Handy is developed on top of TipTep Skeletonizer (http://tiptep.com/portfolio/skeleton) in .Net environment and using Kinect for Windows SDK.
With the use of Dynamic Time Warping (DTW) and Hidden Markov Models I have created a model to recognize the hand gestures of the users which is used for home automation.
For further information the following pulications can be reviewed:
Teimourikia, Mahsa, et al. "Personalized Hand Pose and Gesture Recognition System for the Elderly." International Conference on Universal Access in Human-Computer Interaction. Springer International Publishing, 2014.
Saidinejad, Hassan, et al. "Static hand poses for gestural interaction: a study." Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces. ACM, 2014.
Teimourikia, Mahsa, Hassan Saidinejad, and Sara Comai. "Handy: A configurable gesture recognition system." 7th Int. Conf. on ACHI. 2014.
TEIMOURIKIA, MAHSA. "Design and development of a Kinect based multi purpose gesture interface for fragile people." (2013).