Hand Gesture Recognition Using Microsoft ’ s Kinect

Hand Gesture is one of the most natural ways to give commands to the computer or communiate with a robot. The other plausible possibility, speech recognition, requires a lot of learning to be done on part of the computer/robot as it is user specific. In this project, we use z-depth obtained by Kinect to determine accurately different hand gestures. The advent of low cost Microsoft’s Kinect has provided new opportunities & spurred research in areas of human-computer interaction (HCI).However, Hand Gesture Recognition remains a relatively unexplored facet of Kinect. The complexities involved in hand recognition owing to its small size relative to the human body & its complex shape further complicates the scenario. We use a novel distance metric method for computing dissimilarity between two different hand gestures Finger-Earth over’s Distance (FEMD).