Real Time Hand Gesture Recognition for Smart Classroom Environment

摘要

In today’s expeditiously changing world, the physical classrooms are soon getting replaced by virtual classrooms. In such an environment, it is important to capture the raisingofhand gesture of the participants and convey it to the lecturer. Gesture Recognition is one of the optimal techniques which help us capture such an event. The existing systems make’s user wear colored gloves which is not a userfriendly approach. Some require costly indepth sensor camera’s for using them. We propose a systematic approach to detect face using cascading classifiers, recognize the handgesture and annotate the video. This is made possible using webcam available at affordable prices. The results obtained show that the system can work under a varying degree of background lightning condition as well as illumination. The location and the hand orientation in accordance with the face detected help us in achieving greater efficiency.