DocumentCode :
1883357
Title :
A robust vision-based hand gesture recognition system for appliance control in smart homes
Author :
Senanayake, R. ; Kumarawadu, Sisil
Author_Institution :
Dept. of Electron. & Comput. Eng., Sri Lanka Inst. of Inf. Technol., Sri Lanka
fYear :
2012
fDate :
12-15 Aug. 2012
Firstpage :
760
Lastpage :
763
Abstract :
Adopting a hand gesture based appliance control system would be a virtuous idea for smart homes. However, complexity of the home background makes it challenging to work such systems in real home environments. In this paper, we present developing a robust system which can practically be used in complex backgrounds. The users are required to wear neither wristbands nor long-sleeved garments. In order to achieve this, we use TRS moment invariants combined with Viola-Jones object detection framework. We demonstrate the performance of the system in different complex backgrounds by controlling a pedestal fan.
Keywords :
domestic appliances; gesture recognition; home automation; object detection; TRS moment invariants; Viola-Jones object detection framework; appliance control system; complex backgrounds; pedestal fan; real home environments; robust system; robust vision-based hand gesture recognition system; smart homes; Complexity theory; Gesture recognition; Home appliances; Image color analysis; Skin; Thumb; TRS moment invariants; Viola-Jones object detection framework; smart home;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-2192-1
Type :
conf
DOI :
10.1109/ICSPCC.2012.6335685
Filename :
6335685
Link To Document :
بازگشت