Hand gesture recognition

Problem: Developing algorithms of hand gesture recognition that are then integrated into systems supporting the communication in hard-of-hearing community.

First approach proposed a feature named Rank-Order Correlation Matrix that was extracted on static hand gestures represented by depth images.

Paper (ATC, IEEE)

Second approach used geometry-based features computed from silhouette to classify static hand gestures.

Paper (ICARCV, IEEE)

Third approach modeled dynamic hand gestures using geometrical characteristics extracted from hand silhouettes.

Paper (ATC, IEEE)