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Collaboration support system by using viewpoint switching for 3D shape evaluation in virtual space

Collaboration support system by using viewpoint switching fo...

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： M. Okubo T. Watanabe Department of System Engineering Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama Japan

Collaboration mainly consists of two tasks; one is each partner's task that is performed by the individual, the other is communication with each other. Both of them are very important objectives for the collaboration support system. In this paper, a collaboration support system for 3D shape evaluation in virtual space is developed on the basis of studies in 3D shape evaluation and communication support in virtual space. The present system provides the two viewpoints for each task. One is the viewpoint of back side of user's own avatar for the smooth communication. The other is that of avatar's eye for 3D shape evaluation. Switching the viewpoints satisfies the task conditions for 3D shape evaluation and communication. In this paper, the some characteristics of the present system are described and the effectiveness of them is also demonstrated by the sensory evaluation and questionnaires analysis.

关键词： Collaboration Shape Magnetic sensors Avatars Space technology Communication switching systems engineering and theory Product design Magnetic analysis Watches

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Intelligent diagnosis method of multi-fault state for plant machinery using wavelet analysis, genetic programming and possibility theory

Intelligent diagnosis method of multi-fault state for plant ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Peng Chen M. Taniguchi T. Toyota Faculty of Computer Science and System Engineering Kyushu Institute of Technology Fukuoka Japan

This paper proposes an intelligent diagnosis method for plant machinery in multi-fault state using wavelet analysis, genetic programming (GP), and possibility theory. The wavelet analysis is used to extract feature spectra of multi-fault state from measured vibration signal for the diagnosis. Excellent symptom parameters for distinguishing fault states are automatically generated by GP. Because the value of symptom parameter calculated to express the feature of the vibration signal fluctuates even if machine state does not change, fuzzy diagnosis is necessary. After obtaining the excellent symptom parameters by GP called GP-SPs, the membership functions of GP-SPs are needed for fuzzy diagnosis. We also discuss the identification method of membership function of symptom parameters using probability theory and possibility theory, and show the inference method for identifying faults types. The methods proposed in this paper are verified by applying them to the diagnosis of rolling bearing in multi-fault state.

关键词： Machine intelligence Machinery Wavelet analysis Genetic programming Possibility theory Fault diagnosis Vibration measurement Signal analysis Feature extraction Signal generators

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An iterative decoding algorithm for channels with gibbs distributed noise

An iterative decoding algorithm for channels with gibbs dist...

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IEEE International Symposium on Information Theory

作者： T. Wadayama Faculty of Computer Science and System Engineering Okayama Prefectural University Okayama Japan

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Dynamic analysis of facial color by using the force feedback system for virtual arm wrestling

Dynamic analysis of facial color by using the force feedback...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics

作者： Yamada, T Watanabe, T Electronic Mechanical Engineering Department Yuge National College of Maritime Technology 1000 Shimoyuge Yuge-Cho Ochigun 794-2593 Ehime Japan Faculty of Computer Science and System Engineering Okayama Prefectural University CREST Japan Science and Technology 111 Kuboki Soja 719-1197 Okayama Japan

ISBN: (纸本)0780377591

In this paper, we develop a 4-DOF force display system for the analysis by synthesis of facial color for the interaction with anthropomorphic agent. By using the system, we analyze the changes in facial skin temperature and facial color associated with circulation dynamics in response to forced actions. On the basis of the analysis, we propose a synthetic method for the affect display of virtual face with facial color and expression in force display, and the effectiveness of the method is confirmed. Finally, we develop a prototype of virtual arm wrestling system with anthropomorphic agent using synthesized dynamic three-dimensional facial color and expression.

关键词： force display facial skin temperature facial color color image processing virtual face

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An embodied virtual communication system for three human interaction support and analysis by synthesis

An embodied virtual communication system for three human int...

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IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： T. Shintoku T. Watanabe Guraduate School of System Engineering Okayama Prefectural University Japan Faculty of Computer Science and System Engineering Okayama Prefectural University Japan

An embodied virtual face-to-face communication system is developed for three human interaction supports and the analysis by synthesis. The system provides networked virtual communication environment in which three remote talkers can share embodied interactions by observing their interaction of avatars called VirtualActors including themselves in the same virtual space. The effectiveness of the system is demonstrated by the sensory evaluation of the communication experiment and selected most favorite viewpoint when talker's own VA was semitransparently presented in 8 groups, 3 talkers per group. The importance of mutual embodied sharing in communication is also clarified. The system would be expected to form the foundation of group embodied interaction support system as well as the analysis and understanding of group embodied interaction.

关键词： Humans Avatars Network synthesis systems engineering and theory Face Information analysis Performance analysis Layout computer science Motion analysis

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Effects of a speech-driven embodied interactive actor "InterActor" on talker's speech characteristics

Effects of a speech-driven embodied interactive actor "Inter...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： T. Watanabe R. Danbara M. Okubo Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama Japan CREST Japan Science and Technology Agency Japan

A speech-driven embodied interactive actor called InterActor with both functions of speaker and listener is developed for activating human interaction and communication by generating expressive actions and motions coherently related to speech input. InterActor is the electronic media version of the physical interaction robot called InterRobot for robot-mediated communication support, which sets free from the hardware restriction. This paper demonstrates the effects of InterActor on interaction in human speech input by the analysis of speech temporal parameters. It is found that speech duration increases because of the increase of total silence duration and the number of silent parts in human-to-InterActor speech input, which is the advantage of real time processing for word-spotting and speech recognition. Interaction with InterActor is also highly evaluated in smoothness, enjoyment and preference by sensory evaluation.

关键词： Humans Speech analysis Face Robots Hardware computer graphics Biological system modeling Magnetic heads computer science systems engineering and theory

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A journey trough clinical applications of multimethod decision trees

引用

9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003

作者： Povalej, Petra Lenič, Mitja Štiglic, Milojka Molan Kavalar, Maja Skerbinjek Završnik, Jernej Kokol, Peter Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia Adolf Drolc Health Centre SI-2000 Maribor Slovenia Department of Paediatric Surgery Maribor Teaching Hospital SI-2000 Maribor Slovenia

ISBN: (纸本)3540201297

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Decision trees

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark 13

Fault detection of non-linear systems based on multi-form qu...

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13th IFAC Symposium on system Identification, SYSID 2003

作者： Kumamaru, K. Inoue, K. Hosoyamada, Y. Söerström, T. Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Fukuoka Iizuka820-8502 Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system. © 2003 International Federation of Automatic Control.

关键词： Fault detection

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Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

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Intelligent data analysis of human bone density

Intelligent data analysis of human bone density

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Annual IEEE Symposium on computer-Based Medical systems

作者： P. Povalej M. Lenic M. Zorman P. Kokol M.G.E. Peterson J.M. Lane Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Hospital for Special Surgery New York NY USA

In this paper we present the results of an intelligent analysis of osteoporosis database gathered during a longitudinal study in which a random sample of 100 women who had passed precautionary examinations for detection of osteoporosis over five years and were not referred for a definite medical diagnosis was pulled from the records. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that can reduce the risk for development of osteoporosis in women. Most of the extracted knowledge confirmed known medical criteria that put women to risk for osteoporosis, however some new interesting patterns have also been shown.

关键词： Data analysis Humans Osteoporosis Medical diagnostic imaging Bones Decision trees Minerals Databases Medical diagnosis Decision making

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