The Optimal Sleep Control for Wireless Sensor Networks

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Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/73294

Title:	The Optimal Sleep Control for Wireless Sensor Networks
Authors:	Wang, Ying-Hong;Huang, Kuo-Feng;Lin,Cheng-Che;Hung, Chih-Wei
Contributors:	淡江大學資訊工程學系
Keywords:	power consumption;sensor network;sleep control
Date:	2009-12
Issue Date:	2011-10-24 11:43:46 (UTC+8)
Publisher:	Taipei : Institute of electrical and electronics engineers (IEEE)
Abstract:	The performance of face recognition systems depends on conditions being consistent, including lighting, pose and facial expression. To solve the problem produced by pose variation it is suggested to pre-estimate the pose orientation of the given head image before it is recognized. In this paper, we propose a head pose estimation method that is an improvement on the one proposed by N. Hu et al. .The proposed method trains in a supervised manner a nonlinear interpolative mapping function that maps input images to predicted pose angles. This mapping function is a linear combination of some Radial Basis Functions (RBF). The experimental results show that our proposed method has a better performance than the method proposed by Nan Hu et al. in terms of both time efficiency and estimation accuracy.
Relation:	Proceedings of the 2009 joint conferences on pervasive computing, pp.95-101
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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