Implementation of an Intelligent Head Gesture Recognition System
Rushikesh T. Bankar1, Suresh S. Salankar2
1Prof. Rushikesh T. Bankar, Asst. Prof., Department of Electronics & Telecommunication Engineering, G. H. Raisoni College of Engineering, Nagpur, India.
2Dr. Suresh S. Salankar, Prof., Department of Electronics & Telecommunication Engineering, G. H. Raisoni College of Engineering, Nagpur, India.
Manuscript received on January 05, 2015. | Revised Manuscript received on January 11, 2015. | Manuscript published on January 15, 2015. | PP: 57-59 | Volume-3 Issue-2, January 2015. | Retrieval Number: B0788013215/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As per the rapidly advancement in the changing technology, the numerous applications are required. For example, for face, hand and gesture recognition. The previous researchers have been developed various methods foe head gesture recognition and they presented various limitations. Therefore the paper proposes an FPGA based gesture recognition system. The gesture detection and gesture recognition can achieve 30 frames per second using FPGA system. Accordingly that the system software can subsequently schedule all the tasks during the processing. The proposed system also introduces the obstacle detection technique. The system uses ultrasonic sensors for the obstacle detection. The proposed system is responsible for the detection of obstacles.
Keywords: Wheelchair Interface, Ultrasonic Sensors, Face Detection, Gesture Recognition.