• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.214-216
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• 2006

Expressive face and human body gestures are among the main non-verbal communication channels in human-human interaction. Understanding human emotions through body gesture is one of the necessary skills both for humans and also for the computers to interact with their human counterparts. Gesture analysis is consisted of several processes such as detecting of hand, extracting feature, and recognizing emotions. Skin color information for tracking hand gesture is obtained from face detection region. We have revealed relationships between paricular body movements and specific emotions by using HMM(Hidden Markov Model) classifier. Performance evaluation of emotional human body recognition has experimented.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.3
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• pp.150-156
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• 2015

In this paper, it was proposed a new technology to improve the performance of the remote control in virtual reality applications. The operator must know the information of surroundings of the robot, collision possibility of the equipment, and force feedback of the manipulator. The time delay problem occurs in the tele-operating and it causes vibration and expressive power of the manipulator owing to bidirectional force feedback. We presented a new control method to control of the teleoperating system based on serial bus. The reliability is evaluated by simulation.

• Speech Sciences
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• v.10 no.3
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• pp.37-45
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• 2003

This study attempted to determine the effects of a context-based drawing task on the language expression of a severe Wernicke's and Broca's aphasic. The subjects in this study showed a poor auditory comprehension and naming performance. They also showed paraphasia and perseveration. This study focused on improving language expression by a drawing task based on conversation at hand. Ten target words were chosen which were easily drawnable and familiar to the subjects. The results showed that the context-based drawing task was effective on improving the subjects' confrontation naming ability and expressive language ability in terms of explanation of sentences. In addition, the Broca's aphasic showed improved naming ability when the contextual cues were given and he was supposed to spontaneously name words.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.25-35
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• 2011

In the Semantic Web, storage models are required to efficiently store and retrieve metadata and ontology represented using OWL that can provide expressive power and reasoning support. In this paper, we propose an OWL storage model that can store and retrieve many restrictions and semantic relations defined on ontology with metadata. In addition, we propose some methods and rules to improve query processing efficiency of the proposed storage model. The proposed storage model can store and process large amounts of ontology and metadata because it consists of tables based on the relational database. And the proposed model can quickly provide more accurate results to users because of performing two different types of ontology reasoning and using the prime number labeling scheme to easily identify hierarchy relationships between classes or properties. The comparative evaluation results show that our storage model provides better performance than the existing storage model.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.79-85
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• 2017

Understanding of human emotion has a high importance in interaction between human and machine communications systems. The most expressive and valuable way to extract and recognize the human's emotion is by facial expression analysis. This paper presents and implements an automatic extraction and recognition scheme of facial expression and emotion through still image. This method has three main steps to recognize the facial emotion: (1) Detection of facial areas with skin-color method and feature maps, (2) Creation of the Bezier curve on eyemap and mouthmap, and (3) Classification and distinguish the emotion of characteristic with Hausdorff distance. To estimate the performance of the implemented system, we evaluate a success-ratio with emotional face image database, which is commonly used in the field of facial analysis. The experimental result shows average 76.1% of success to classify and distinguish the facial expression and emotion.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1877-1885
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• 2015

This paper presents a new Nearest-Neighbors based weighted representation for images and weighted K-Nearest-Neighbors (WKNN) classifier to improve the precision of image classification using the Bag of Visual Words (BOVW) based models. Scale-invariant feature transform (SIFT) features are firstly extracted from images. Then, the K-means++ algorithm is adopted in place of the conventional K-means algorithm to generate a more effective visual dictionary. Furthermore, the histogram of visual words becomes more expressive by utilizing the proposed weighted vector quantization (WVQ). Finally, WKNN classifier is applied to enhance the properties of the classification task between images in which similar levels of background noise are present. Average precision and absolute change degree are calculated to assess the classification performance and the stability of K-means++ algorithm, respectively. Experimental results on three diverse datasets: Caltech-101, Caltech-256 and PASCAL VOC 2011 show that the proposed WVQ method and WKNN method further improve the performance of classification.

• The Journal of Korea Robotics Society
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• v.10 no.3
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• pp.171-177
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• 2015

A telerobot offers a more engaging and enjoyable interaction with people at a distance by communicating via audio, video, expressive gestures, body pose and proxemics. To provide its potential benefits at a reasonable cost, this paper presents a telepresence robot system for video communication which can deliver speaker's head motion through its display stanchion. Head gestures such as nodding and head-shaking can give crucial information during conversation. We also can assume a speaker's eye-gaze, which is known as one of the key non-verbal signals for interaction, from his/her head pose. In order to develop an efficient head tracking method, a 3D cylinder-like head model is employed and the Harris corner detector is combined with the Lucas-Kanade optical flow that is known to be suitable for extracting 3D motion information of the model. Especially, a skin color-based face detection algorithm is proposed to achieve robust performance upon variant directions while maintaining reasonable computational cost. The performance of the proposed head tracking algorithm is verified through the experiments using BU's standard data sets. A design of robot platform is also described as well as the design of supporting systems such as video transmission and robot control interfaces.

• Journal of the Korean Society of Costume
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• v.58 no.7
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• pp.119-132
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• 2008

This study intended to develop and produce a modern form of fashion design for the Korean creative dance performance, 'Crazy Skirt Collage', which expressed conflict between internal ego and a persona in a woman. The qualitative method was used to analyze literature review, internet search and visual data of historically important cases related to the theme. Based on the analysis, the fashion design of the dance performanre by Hwang Hee-Yeon that was actually staged on Towol Theater, one of the Seoul Arts Center, was produced. The results wire as follows; First, the study confirmed a change of persona that revealed a female's animus strongly as it moved into the modern time. Second, the female's persona was expressed through long skirts, slips, dress shoes, handbags, military shoes, dresses with long zippers, trousers, wedding dresses and Korean full skirts during the performance, while the female's animus through male coats, panties, big bags and clock. In conclusion, it is necessary to study new expressive methods, that is, dance clothes using advanced equipment such as lights, videos or other variety of materials. It is also important to understand aesthetics of modern women's ordinary lives and to adapt ordinary clothes to dance clothes in various methods in order to express their modern lives appropriately through Korean creative dance.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.111-121
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• 2024

Recently, thanks to the development of artificial intelligence technologies such as image recognition, research on unmanned aerial vehicles is being actively conducted. In particular, related research is increasing in the field of military drones, which costs a lot to foster professional pilot personnel, and one of them is the study of an intelligent framework for autonomous mission performance of reconnaissance drones. In this study, we tried to design an intelligent framework for unmanned aerial vehicles using the methodology of designing an intelligent framework for service robots. For the autonomous mission performance of unmanned aerial vehicles, the intelligent framework and unmanned aerial vehicle module must be smoothly linked. However, it was difficult to provide interworking for drones using periodic message protocols with model-based interfaces of intelligent frameworks for existing service robots. First, the message model lacked expressive power for periodic message protocols, followed by the problem that interoperability of asynchronous data exchange methods of periodic message protocols and intelligent frameworks was not provided. To solve this problem, this paper proposes a message model extension method for message periodic description to secure the model's expressive power for the periodic message model, and proposes periodic and asynchronous data exchange methods using the extended model to provide interoperability of different data exchange methods.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.103-108
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• 2008

Art is an ongoing process of experimenting and challenging. The challenge and experiments of the artists encompass both the conceptual process and the expressive process of creating artworks. It is not mandatory to use cutting-edge technologies for interactive performances, since they can be realized by adapting pre-existing technologies. Using previous technologies reduces the difficulties in the production process and makes it easier for the audience to understand the way of participation. In this paper, propose an ARS-server-based control system in which a large audience can participate during a performance to control certain features on stage. This system was first proposed during the 'Ubiplay Workshop and Seminar' hosted by the GSCT, KAIST, and applied to the digital performance 'Syntasia' in June and July, 2007, hosted by the Goyang Culture Foundation.