DocumentCode :
3660321
Title :
Compressive infrared sensing for arm gesture acquisition and recognition
Author :
Tong Liu;Xiao-Mu Luo;Jun Liu;Han Cui
Author_Institution :
Department of Electronic Science, Huizhou University, China
fYear :
2015
Firstpage :
1882
Lastpage :
1886
Abstract :
This article reports the findings of a compressive infrared sensing approach for arm gesture acquisition and recognition. The spatial-temporal changing motion information are intrinsical clues for determining the semantics of gesture, which can be considered as a sparse spatial distribution compared with the sensing region. We first built a database of dynamic arm gestures with writing Arabic numerals 0 - 9 in a constrained interaction region, and study its sparse property of spatial distribution. Then we design a pyroelectric infrared (PIR) sensor array with random visibility modulation for compressive gesture acquisition. The semantic recognition of gesture is executed directly on the sensors´ low-dimensional sequence using vector quantization (VQ) technology. The experimental results demonstrate the effectiveness of the proposed sensing method.
Keywords :
"Sensors","Semantics","Arrays","Visualization","Lenses","Writing","Cameras"
Publisher :
ieee
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICInfA.2015.7279595
Filename :
7279595
Link To Document :
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