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Principal Component Analysis for Gesture recognition using SystemC

Principal Component Analysis for Gesture Recognition using S...

引用

international conference on Advances in Recent Technologies in Communication and computing

作者： Kota, Solomon Raju Raheja, J. L. Gupta, Ashutosh Rathi, Archana Sharma, Shashikant Cent Elect Engn Res Inst CEERI Digital Syst Grp CSIR Pilani 333031 Rajasthan India GJUS&T Hisar 125001 Haryana India Icfai Inst Sci & Tech Jaipur 32022 Rajasthan India

ISBN: (纸本)9781424451043

An algorithm for optimizing the Principal Component Analysis in gesture recognition is proposed, which makes use of covariance between factors to reduce data dimensions. The objectivity and automatization of above manual observation is realized by algorithm. We present an approach for the detection and identification of human gestures and describe a working, near gesture recognition system and then recognize the person by comparing characteristics of the gesture to those of known individuals. Our approach treats gesture recognition as a two dimensional recognition problem, taking advantage of the fact that gestures are normally upright and thus may be described by a small set of 2-D characteristics values. With minimal additional effort PCA provides a roadmap for how to reduce a complex data set to a lower dimension to reveal the sometimes hidden, simplified structure that often underlie it. The proposed algorithm is implemented in SystemC language, with the intention to download on to a FPGA. The output of the system developed in SystemC consists of the gesture ID with closest match, as well as value representing how close this match is (Euclidean Distance value). As PCA has been mostly used for face recognition, this technique has been extended to gesture recognition and is quite fist, relatively simple, and has been shown to work well in a somewhat constrained environment.

关键词： Holistic Euclidean distance Training pattern Automated gesture recognition Gaussian noise Eigenvectors Eigen values Covariance

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An Intelligent Real-Time Communication Assistant for the Disabled

An Intelligent Real-Time Communication Assistant for the Dis...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Bee Theng Lau Tran Cao Thai Raymond Chiong School of Computing & Design Swinburne University of Technology Kuching Sarawak Malaysia

This research focuses on developing a real-time communication assistant for the disabled utilizing the biometric information of their facial features. Our targeted community is that with communication disabilities. While communicating effectively is a problem for this community, they have facial expressions and incomprehensible speech that can be interpreted to associate with their needs or requests. Thus, we utilize the real-time face detection technique to capture their facial expressions. This paper focuses mainly on discussion of the performance of real-time biometric information detection in our prototype, the EmoCom. EmoCom can also serve as a monitoring system to track the activities of the disabled with limited physical mobility.

关键词： Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining Computer graphics Shearing

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A New Approach for Segmentation and recognition of Arabic Handwritten Touching Numeral Pairs

引用

13th international conference on Computer Analysis of Images and patterns

作者： Alamri, Huda He, Chun Lei Suen, Ching Y. Concordia Univ Comp Sci & Software Engn Dept CENPARMI Ctr Pattern Recognit & Machine Intellige Montreal PQ Canada

ISBN: (纸本)9783642037665

In this paper, we propose a new approach on segmentation and recognition of off-line unconstrained Arabic handwritten numerals, which failed to be segmented with connected component analysis. In our approach, the touching numerals are automatically segmented when a set of parameters is chosen. Models with different sets of parameters for each numeral pair are designed for recognition. Each image in each model is recognized as all isolated numeral. After normalizing and binarizing the images, gradient features are extracted and recognized using SVMs. Finally, a post-processing is proposed by based on the optimal combinations of the recognition probabilities for each model. Experiments were conducted on the CENPARMI Arabic, Dari, and Urdu touching numeral pair databases [1, 12].

关键词： Numeral pair segmentation Arabic Digit recognition Gradient features

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A Choice Function to Dynamic Selection of Enumeration Strategies Solving Constraint Satisfaction Problems

A Choice Function to Dynamic Selection of Enumeration Strate...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Broderick Crawford Mauricio Montecinos Carlos Castro Eric Monfroy Universidad Técnica Federico Santa María Valparaíso Chile Pontijicia Universidad Católica de Valparaíso Valparaíso Chile Université de Nantes Nantes France

In this work we exploit search process features to dynamically adapt a constraint programming solver in order to more efficiently solve constraint satisfaction problems. The main novelty of our approach is that we reconfigure the searching or search process based solely on performance data gathered while solving the current problem. We report encouraging results where our combination of strategies outperforms the use of individual strategies.

关键词： Problem-solving Dynamic programming Constraint optimization Input variables Partitioning algorithms pattern recognition Functional programming Labeling Proposals Engines

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Ensemble for Solving Quadratic Assignment Problems

Ensemble for Solving Quadratic Assignment Problems

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international conference of soft computing and pattern recognition (SOCPAR)

作者： L. Q. Song M. H. Lim P. N. Suganthan V. K. Doan School of Electrical and Electronic Engineering Nanyang Technological University Singapore

In this paper, we present a scheme whereby diverse optimization algorithms are incorporated within a framework of selective reproduction according to fitness. By forming an ensemble of several populated optimization algorithms, it is shown that the exploitative traits can be extended across several search algorithms. Results of simulations on several difficult quadratic assignment problem benchmarks based on a fixed computational time budget have shown that the ensemble scheme convincingly outperforms the individual constituent optimization algorithms.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization

Integrated Feature Selection and Parameter Optimization for ...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Haza Nuzly Abdull Hamed Nikola Kasabov Siti Mariyam Shamsuddin Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand Soft Computing Research Group Universiti Teknologi Malaysia Johor Malaysia

This paper proposes a novel method for optimizing features and parameters in the Evolving Spiking Neural Network (ESNN) using Quantum-inspired Particle Swarm Optimization (QiPSO). This study reveals the interesting concept of QiPSO in which information is represented as binary structures. The mechanism simultaneously optimizes the ESNN parameters and relevant features using wrapper approach. A synthetic dataset is used to evaluate the performance of the proposed method. The results show that QiPSO yields promising outcomes in obtaining the best combination of ESNN parameters as well as in identifying the most relevant features.

关键词： Neural networks Particle swarm optimization Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining

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Toward a Solution to Multi-agent Credit Assignment Problem

Toward a Solution to Multi-agent Credit Assignment Problem

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Zahra Rahaie Hamid Beigy Department of Computer engineering Sharif University of Technology Tehran Iran

Multi-agent systems (MAS) try to formulate dynamic world which surround human being in every aspect of his life. One of the important challenges encountered in multi-agent systems is the credit assignment problem, simply means distributing the result of the work of a group of agents, such that every agent will have the capability of individual learning. This paper presents the result of a solution suggested for multi-agent credit assignment problem. With the help of observing history of credit assignment in the environment, we will understand what actions are reward-deserving. Results are reported on a multi-agent domain, addition agents.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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A Study on TODO Task Management at Home

A Study on TODO Task Management at Home

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Sayaka Ajikata Ichiro Kobayashi Kobayashi-Laboratory Advanced Sciences Graduate School of Humanities and Sciences Ochanomizu University Bunkyo Tokyo Japan Advanced Sciences Graduate School of Humanities and Sciences Ochanomizu University Bunkyo Tokyo Japan

In the small community like a family, there exist several TODO tasks to be performed cooperatively by the members for making the community life easier. The TODO tasks have to be performed by someone in the community, therefore, it is preferable that the tasks should be done by the members without a big burden. In this context, we focus on TODO task management in a family, and propose a method to make a schedule in which the family members cooperate each other to achieve TODO tasks by taking account of multiple constraints, e.g., members' expert ability, schedules, etc. To make such a schedule, we use multi-objective genetic algorithm.

关键词： pattern recognition

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pattern recognition System of Optical Fiber Fusion Defect Based on Fuzzy Neural Network in EPON

Pattern Recognition System of Optical Fiber Fusion Defect Ba...

引用

international conference on Networks Security, Wireless Communications and Trusted computing

作者： Zhang Zhen Guo Rong-xing Zhengzhou Inst Aeronaut Ind Management Zhengzhou Peoples R China

ISBN: (纸本)9780769536101

Because of having many advantages, optical fiber network is applied widely in high-tech fields. But the existence of optical fiber fusion defects will debase the quality of message transmission. A set of defect recognized system is established based on the compensatory fuzzy neural network of using wavelet and with fast algorithm in this paper. The 'energy-defect' method to extract eigenvalue is used firstly, then defect classification is recognized by fuzzy neural network. The results of simulation show that the model established by making use of this algorithm has higher efficiency, and the possibility of wrap in local minimum value of the network during the training process is smaller, which can compare to approach the precision utmost steadily and classification recognize the defect precision.

关键词： optical fiber fusion fuzzy neural network defect recognition EPON

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An Application of SMS Technology for Customer Service Centre

An Application of SMS Technology for Customer Service Centre

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Ariff Idris Abd. Samad Hasan Basari Nur Hanisah Zubir Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Durian Tunggal Malacca Malaysia

SMS technology is designed originally as a communication tool between a service provider and its users. However in the last few years this technology has allowed users to communicate among them. The vast growth of mobile technology is also one of the elements that help in utilizing this technology. Users are able to get very fast information anywhere. In order to utilize this technology, CeS-LAP is developed to improve the current services provided by Lembaga Air Perak (LAP). This system is aimed at providing better complaint system, customer information system and expectantly an alternative way for customer to check their unpaid bill.

关键词： Customer service Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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