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A study on vision-based robust hand-posture recognition by learning similarity between hand-posture and structure

引用

2nd International Conference on Natural Computation, ICNC 2006

作者： Hyoyoung, Jang Jin-Woo, Jung Zeungnam, Bien Department of Electrical Engineering and Computer Science KAIST 373-1 Guesong-dong Yuseong-gu Daejeon 305-701 Korea Republic of Human-Friendly Welfare Robot System Research Center KAIST 373-1 Guesong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)3540459073

This paper proposes a robust hand-posture recognition method by learning similarity between hand-posture and structure for the performance improvement of vision-based hand-posture recognition. The difficulties in vision-based hand-posture recognition lie in viewing direction dependency and self-occlusion problem due to the high degree-of-freedom of human hand. General approaches to deal with these problems include multiple camera approach and methods of limiting the relative angle between cameras and the user's hand. In the case of using multiple cameras, however, fusion techniques to induce the final decision should be considered. Limiting the angle of user's hand restricts the user's freedom. The proposed method combines angular features and appearance features to describe hand-postures by a two-layered data structure and includes learning the similarity between the two types of features. The validity of the proposed method is evaluated by applying it to the hand-posture recognition system using three cameras. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Gesture recognition

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Bayesian Interpretation of Adaptive Fuzzy Neural Network Model

Bayesian Interpretation of Adaptive Fuzzy Neural Network Mod...

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Sang Wan Lee Dae-Jin Kim Yong Soo Kim Zeungnam Bien Electrical Engineering and Computer Science Department Korean Advanced Institute of Science and Technology Daejeon South Korea Human-friendly Welfare Robot System Engineering Research Center Korean Advanced Institute of Science and Technology Daejeon South Korea Division of Computer Engineering Daejeon University Daejeon South Korea

This paper conveys Bayesian interpretation of improved integrated adaptive fuzzy clustering(IAFC), which is one of the adaptive fuzzy neural network models and suggests upper bound of vigilance parameter, which gives us a guideline to endow IAFC with flexibility within the framework of minimum risk classifier. Besides, we proposed the off-line and on-line learning strategy of IAFC. The proposed techniques are applied to construct facial expression recognition system dealing with neutral, happy, sad, and angry. We empirically show that proposed methods are able to outperform the conventional IAFC.

关键词： Bayesian methods Adaptive systems Fuzzy neural networks Clustering algorithms Intelligent robots Decision theory Guidelines Face recognition Partitioning algorithms Service robots

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SOFT COMPUTING TECHNIQUE APPROACH TO BUILD A ‘PERSONALIZED' FACIAL EXPRESSION RECOGNITION system

SOFT COMPUTING TECHNIQUE APPROACH TO BUILD A ‘PERSONALIZED'...

引用

第11届国际模糊系统协会世界大会

作者： Dae-Jin Kim Zeungnam Bien Human-friendly Welfare Robot System-Engineering Research Center(HWRS-ERC) KAIST Korea Human-friendly Welfare Robot System-Engineering Research Center(HWRS-ERC) KAIST Korea

In this paper, we discuss about a design process of 'personalized' classifier with soft computing techniques. Based on a human's way of thinking, a buildup strategy for personalized classifier is denoted. Here, soft computing techniques such as fuzzy logic theory, neural networks and others are effectively used. 'Model Selection' and 'Feature Selection' provide a systematic way to make a set of 'personalized' classifiers. As one of the interesting applications, facial expression recognition problem is discussed. The numerical result shows that the proposed method can enhance the classification rate as high as 94.3%.

关键词： Facial Expression Recognition, Personalization, Fuzzy Similarity Measure, Feature Selection

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Training of feature extractor via new cluster validity application to adaptive facial expression recognition

Training of feature extractor via new cluster validity appli...

引用

9th International Conference on Knowledge-Based Intelligent Information and engineering systems, KES 2005

作者： Lee, Sang Wan Kim, Dae-Jin Kim, Yong Soo Bien, Zeungnam Department of Electrical Engineering and Computer Science KAIST Daejeon 305-701 Korea Republic of Human-friendly Welfare Robot System Engineering Research Center KAIST Daejeon 305-701 Korea Republic of Division of Computer Engineering Daejeon University Daejeon 300-716 Korea Republic of

ISBN: (纸本)354028897X

A lot of researches on classifiers, which can perform well with a given set of feature vectors, have been done. However, researches on feature vectors, which extract better feature vectors automatically, have not been done very much. We face two problems when we consider feature extraction process. One is how we can make a good feature extractor, and the other is what more separable features are. In this paper, we solved these two problems by proposing feature extractor-training methodology that uses new cluster validity as an objective function. By combining feature extractor to Fuzzy Neural Network Model, we achieve on-line adaptation capability as well as optimized feature extraction. The result shows recognition rate of 97% when on-line adaptation is being done. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Face recognition

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Facial Emotional Expression Recognition with Soft Computing Techniques

Facial Emotional Expression Recognition with Soft Computing ...

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Dae-Jin Kim Sang-Wan Lee Zeungnam Bien Human-friendly Welfare Robot System Engineering Research Center (HWRS-ERC) Department of EECS KAIST Daejeon South Korea

The facial expression recognition (FER) is one of the biosignal-based recognition techniques which attract a lot of attention recently. To deal with its complex characteristics effectively, we adopt the soft computing techniques (SCT) such as fuzzy logic, neural networks, genetic algorithm and/or rough set technique. In this paper, we overview the state-of-the-art reports on FER in view of SCT, and introduce some interesting works done by our group on the SCT-based facial emotional expression recognition. Specifically, 1) fuzzy observer-based approach, 2) personalized FER system based on fuzzy neural networks, and 3) Gabor wavelet neural networks are briefly discussed

关键词： Emotion recognition Face recognition Neural networks Fuzzy neural networks Artificial neural networks Computer networks humans Feature extraction Neurons robots

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Advanced robotic residence for the elderly/the handicapped: Realization and user evaluation

Advanced robotic residence for the elderly/the handicapped: ...

引用

2005 IEEE 9th International Conference on Rehabilitation robotics, ICORR 2005

作者： Jung, Jin-Woo Do, Jun-Hyeong Kim, Young-Min Suh, Kwang-Suhk Kim, Dae-Jin Zenn Bien, Z. Human-friendly Welfare Robot System Research Center KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of Dept. of Electrical Engineering and Computer Science KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)0780390032

A novel advanced robotic residence, Intelligent Sweet Home (ISH), developed at KAIST, Korea for testing advanced concepts for independent living of the elderly and the physically handicapped. The work focuses on human-friendly technical solutions for motion/mobility assistance, health monitoring, and advanced human-machine interfaces that provide easy control of both assistive devices and home-installed appliances. To improve the inhabitant's comfort, an intelligent bed, intelligent wheelchair and mechatronic transfer robot were developed. And, various interfaces based on hand gestures and voice, and health monitoring system were studied. This paper emphasizes on the realization scheme of Intelligent Sweet Home and user evaluation by a physically handicapped person. © 2005 IEEE.

关键词： robotics

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Facial emotional expression recognition with soft computing techniques

Facial emotional expression recognition with soft computing ...

引用

IEEE International Workshop on robot and human Communication (ROMAN)

作者： Dae-Jin Kim Sang-Wan Lee Zeungnam Bien Human-friendly Welfare Robot System Engineering Research Center HWRS-ERC Daejeon South Korea 'Department of EECS KAIST Daejeon South Korea

关键词： Emotion recognition Face recognition Neural networks Fuzzy neural networks humans Intelligent robots Computer networks Service robots Intelligent networks Feature extraction

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Advanced robotic residence for the elderly/the handicapped: realization and user evaluation

Advanced robotic residence for the elderly/the handicapped: ...

引用

IEEE International Conference on Rehabilitation robotics (ICORR)

作者： Jin-Woo Jung Jun-Hyeong Do Young-Min Kim Kwang-Suhk Suh Dae-Jin Kim Z.Z. Bien Human-friendly Welfare Robot System research center KAIST South Korea Department of Electrical Engineering and Computer Science KAIST Daejeon South Korea

A novel advanced robotic residence, Intelligent Sweet Home (ISH), is developed at KAIST, Korea for testing advanced concepts for independent living of the elderly and the physically handicapped. The work focuses on human-friendly technical solutions for motion/mobility assistance, health monitoring, and advanced human-machine interfaces that provide easy control of both assistive devices and home-installed appliances. To improve the inhabitant's comfort, an intelligent bed, intelligent wheelchair and mechatronic transfer robot were developed. And, various interfaces based on hand gestures and voice, and health monitoring system were studied. This paper emphasizes the realization scheme of Intelligent Sweet Home and user evaluation by a physically handicapped person.

关键词： Senior citizens Intelligent robots Monitoring Testing Man machine systems Motion control Home appliances Wheelchairs Mechatronics Mobile robots

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Soft remote control system in the intelligent sweet home

Soft remote control system in the intelligent sweet home

引用

作者： Do, Jun-Hyeong Jang, Hyoyoung Jung, Sung Hoon Jung, Jinwoo Bien, Zeungnam Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of Human-Friendly Welfare Robot System Research Center Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)0780389123

In this paper, we describe the "Soft Remote Control system" that provides easy control of home installed appliances to improve the inhabitant's comfort. This system is feasible to control various home appliances naturally by recognizing the user's hand gestures in the "Intelligent Sweet Home." The user selects the device that he/her wants to control by pointing it with his/her hand. Then, the user can command operation of the desired function via a predefined hand gesture. The approach complements the inconvenience of the conventional remote controllers giving additional freedom to persons with movement deficits and people without disabilities. © 2005 IEEE.

关键词： Remote control

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Soft remote control system in the intelligent sweet home

Soft remote control system in the intelligent sweet home

引用

2005 IEEE/RSJ International Conference on Intelligent robots and systems

作者： Jun-Hyeong Do Hyoyoung Jang Sung Hoon Jung Jinwoo Jung Zeungnam Bien Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea Human-friendly Welfare Robot System Research Center Korea Advanced Institute of Science and Technology Daejeon South Korea

In this paper, we describe the "soft remote control system" that provides easy control of home installed appliances to improve the inhabitant's comfort. This system is feasible to control various home appliances naturally by recognizing the user's hand gestures in the "intelligent sweet home". The user selects the device that he/her wants to control by pointing it with his/her hand. Then, the user can command operation of the desired function via a predefined hand gesture. The approach complements the inconvenience of the conventional remote controllers giving additional freedom to persons with movement deficits and people without disabilities.

关键词： Control systems Intelligent systems Home appliances Cameras Intelligent robots Communication system control robot vision systems Microphones Man machine systems TCPIP

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