FPGA based hand gesture recognition system

Ramasamy, S and Shetty, Nisha (2017) FPGA based hand gesture recognition system. In: International Conference on Mathematical Modeling and Computational Methods in Science and, 20/02/2017, Alagappa University, karaikudi. tamil nadu.

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Abstract

Gestures originate from any bodily motion or state but commonly originate from the face and hand. Current focuses in the field includes emotion recognition from the face and hand gesture recognition. Many approaches have been made using camera and computer vision algorithms to interpret sign language. Gesture recognition enables humans to communicate with the machine (HMI) and interact without any mechanical devices. The main objective of this work is to design a FPGA based hand gesture recognition system. FPGA makes the system fast and efficient. Image acquisition is done with digital camera. The acquired image is then processed using efficient algorithm. Edge detection and feature extraction is done further to identify the gestures. The image of required gestures are all stored and then compared with the features extracted from the captured images. Accordingly, audio and visual output is generated. This will help in establishing the communication between the speech impaired people and the common people

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Hand gestures, edge detection, feature extraction, FPGA
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 07 Feb 2019 05:24
Last Modified: 07 Feb 2019 05:24
URI: http://eprints.manipal.edu/id/eprint/153214

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