A robust vision-based hand gesture recognition system for appliance control in smart homes

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 compl...

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Bibliographic Details
Published in2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC) pp. 760 - 763
Main Authors Senanayake, Ransalu, Kumarawadu, Sisil
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.08.2012
Subjects
Complexity theory
Gesture recognition
Home appliances
Image color analysis
Skin
smart home
Thumb
TRS moment invariants
Viola-Jones object detection framework
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Summary: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.
ISBN:9781467321921
1467321923
DOI:10.1109/ICSPCC.2012.6335685