Title :
An intelligent hand gesture recognition system using fuzzy logic
Author :
Chellaswamy, C. ; Durgadevi, Jannali Jaya ; Srinivasan, Srinidhi
Author_Institution :
Dept. of Electron. & Commun. Eng., SRM Univ., Chennai, India
Abstract :
Hand gesture recognition is a developing technology that makes the human machine interaction through meaningful physical movement. Several devices have been developed in the past using the camera for recognizing hand gestures and communicating with the machine. This paper explains about a new system called fuzzy based hand gesture recognition (FHGR) to avoid the use of camera which has several disadvantages like lighting, making proper hand movements before camera, less range, etc. This paper explores the possibility of having the intelligent control unit in a wearable form like a hand watch or a wrist band, etc. For stable displacement, estimation filtering is used. With the sensors placed in the form of a watch or a band in our hand, any motion made by the hand will be detected by these sensors and transferred to a control unit to take the required actions. Experimental results shows that the stability and accuracy of the proposed system is more.
Keywords :
filtering theory; fuzzy logic; gesture recognition; human computer interaction; FHGR; estimation filtering; fuzzy based hand gesture recognition; fuzzy logic; human machine interaction; intelligent control unit; intelligent hand gesture recognition system; physical movement; GSM modem; Kalman filter; MEMS; fuzzy logic controller; gesture recognition;
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2013), IET Chennai Fourth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-78561-030-1
DOI :
10.1049/ic.2013.0333