Real time FPGA implementation of hand gesture recognizer system
Sue Han Lee, Soon Nyean Cheong, Chee‐Pun Ooi, Wei Heng Siew · Annual Conference on Computers · 2011
This paper describes the design and implementation of the hand gesture recognizer system for controlling the hardware appliance in real time. FPGA based implementation proposed for hand tracking system includes the image preprocessing state and feature extraction state that consists of bounding box and Center-Of-Mass based computation. Through the features extraction state, the object's Center-Of-Mass and bounding box attributes are extracted to be applied for gesture sign classification. The main modules in this image processing system employ the developed system exploits the parallelism architecture of the FPGA to achieve real time processing. Essentially, the hand gesture recognizer system design have several essential features: (1) Hand tracking system, (2) Gesture classification and (3) Support real time processing.