Tiago Cardoso

— Human-Computer Interaction (HCI) faces a great challenges in what concerns the creation of a fully natural interface that is able to recognize a wide range of hand gestures in real-time. Lately efforts have been made by the research community catalyzed by the wide appearance of depth sensors such as the one from the Microsoft Kinect sensor. Nevertheless the available solutions struggle to robustly recognize hand gestures since, compared with the rest of the body, the hand is a small region with many joints, difficult to recognize and ultimately track. This paper proposes a hand shape recognition method that takes advantage of the depth sensor and the joint tracking ability of Microsoft Kinect sensor. The proposed method relies on the analysis of the hand contour or outline and compares it with previously stored templates achieving a good recognition ratio and proving it eligible
for real-time scenarios.

Nowadays technology follows us everywhere. However, it is often overlooked when dealing with social issues, despite how easily it might improve the life of countless handicapped individuals. In other words, small pieces of software, under the form of games, can help the individual remain focus and go through treatments and therapies effortlessly. But game development is tricky because simply adopting a software development approach is not enough, as it assumes that games as a software can be developed through the commonly used systematic processes, yet these do have specific requirements. This paper proposes a new game development model to successfully deliver a quality serious game, towards social causes, bearing in mind the specific aspects both from games as a special kind of software and from the target players introducing a therapeutic/clinical perspective in the games development model.