• ETRI Journal
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• 제33권2호
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• pp.210-218
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• 2011

Battiti's mutual information feature selector (MIFS) and its variant algorithms are used for many classification applications. Since they ignore feature synergy, MIFS and its variants may cause a big bias when features are combined to cooperate together. Besides, MIFS and its variants estimate feature redundancy regardless of the corresponding classification task. In this paper, we propose an automated greedy feature selection algorithm called conditional mutual information-based feature selection (CMIFS). Based on the link between interaction information and conditional mutual information, CMIFS takes account of both redundancy and synergy interactions of features and identifies discriminative features. In addition, CMIFS combines feature redundancy evaluation with classification tasks. It can decrease the probability of mistaking important features as redundant features in searching process. The experimental results show that CMIFS can achieve higher best-classification-accuracy than MIFS and its variants, with the same or less (nearly 50%) number of features.

• 한국실내디자인학회논문집
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• 제22권5호
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• pp.302-310
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• 2013

Many museums have recently employed digital technologies in exhibition installations to provide visitors with interactive experiences with the installations, not just audiences. However, most of them have focused on the adoption of new prototypes or technologies, not considering user experiences of those systems carefully. This study developed an evaluation tool for usability of the tangible user interfaces and conducted a usability study on museum installations emphasizing user interaction and experience. The evaluation tool is composed of 5 features of tangible user interfaces such as tangible, interaction, convenience, representation, spatial interaction and social interaction, and 24 items. The museum we investigated is the Gwacheon National Science Museum, where 8 installations, classified 4 categories, were selected for the usability study. We recruited 6 undergraduate students, who were divided into 2 teams, each team having 3 students. Three students in a team manipulated and experience each installation together and reported their evaluation score through the questionnaire and interviews. The results showed that the score of the usability for the category 3, which requires students to move their bodies for the interaction, is the highest one because it features with spatial interaction. Students expressed much interest in the category 4, which utilizes users' other senses, however, the score of the usability is the lowest because the interaction is temporary and repetitive. Most installations are well designed in terms of control constraints, legibility, lower thresholds, participation encouragement, and open to the public, but pooly designed in terms of multiple access points, configurability, accurate movement, ambient media, and full-body interaction.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.738-744
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• 2013

According to the cognitive science research, the interaction intent of humans can be estimated through an analysis of the representing behaviors. This paper proposes a novel methodology for reliable intention analysis of humans by applying this approach. To identify the intention, 8 behavioral features are extracted from the 4 characteristics in human-human interaction and we outline a set of core components for nonverbal behavior of humans. These nonverbal behaviors are associated with various recognition modules including multimodal sensors which have each modality with localizing sound source of the speaker in the audition part, recognizing frontal face and facial expression in the vision part, and estimating human trajectories, body pose and leaning, and hand gesture in the spatial part. As a post-processing step, temporal confidential reasoning is utilized to improve the recognition performance and integrated human model is utilized to quantitatively classify the intention from multi-dimensional cues by applying the weight factor. Thus, interactive robots can make informed engagement decision to effectively interact with multiple persons. Experimental results show that the proposed scheme works successfully between human users and a robot in human-robot interaction.

• International Journal of Human Ecology
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• 제14권1호
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• pp.87-102
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• 2013

This study investigated residents' preferences for spatial features of sitting areas in assisted living facilities, and provides recommendations for planning sitting areas to support residents' spatial preferences and social interaction. The study participants were 69 residents of eight assisted living facilities (30+ resident capacity), located in south central Texas. A photographic comparison method was used, in which residents were shown 20 matched pairs of photos, with a single feature digitally modified in each pair, and asked to select which environmental representation they preferred. The hypothesized spatial characteristics were identified in practice based literature as those that may encourage usage of sitting areas: viewability, variety, homelikeness, and privacy. Most of the hypothesized features were preferred by participants, with the highest preference found for non-institutional furniture arrangements and naturalness, followed by increasing enclosure and variety of seating. Preference was less significant for domestic cues such as carpeted floors, divided light windows, and boundaries defined by different colored material or columns, possibly due to their physical impairments or preference for visual openness. Participants' level of mobility assistance was significantly related to their preference for some features, such as seating with people-watching capability, and carpeted floors. The findings have implications for facility architects and administrators engaged in resident-oriented spatial planning.

• 제어로봇시스템학회논문지
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• 제11권1호
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• pp.50-57
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• 2005

We present a simple and effective method of face and facial feature detection under pose variation of user face in complex background for the human-robot interaction. Our approach is a flexible method that can be performed in both color and gray facial image and is also feasible for detecting facial features in quasi real-time. Based on the characteristics of the intensity of neighborhood area of facial features, new directional template for facial feature is defined. From applying this template to input facial image, novel edge-like blob map (EBM) with multiple intensity strengths is constructed. Regardless of color information of input image, using this map and conditions for facial characteristics, we show that the locations of face and its features - i.e., two eyes and a mouth-can be successfully estimated. Without the information of facial area boundary, final candidate face region is determined by both obtained locations of facial features and weighted correlation values with standard facial templates. Experimental results from many color images and well-known gray level face database images authorize the usefulness of proposed algorithm.

• 한국컴퓨터정보학회논문지
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• 제25권4호
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• pp.79-86
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• 2020

본 논문에서는 비등방성 특징 기반의 다익스트라 알고리즘(Dijkstra algorithm)을 이용한 효율적인 감성 완화 프레임워크를 제안한다. 감성을 완화시키는 것은 감성 분석만큼이나 중요하며, 사람의 우울함이나 외로움을 자동으로 완화시켜줄 수 있는 프레임워크로써 인간과 컴퓨터의 상호작용(HCI, Human-Computer Interaction)측면에서도 매우 중요한 의미를 갖는다. 본 논문에서는 1) 마이크로소프트의 Emotion API를 이용하여 얼굴 표정으로부터 변화하는 감정값을 계산하고, 2) 이 감정값의 차이를 이용하여 우울이나 외로움 같은 이상 감정을 인지한다. 3) 마지막으로, 감성 히스토그램과 비등방성 특성을 고려한 감정 메시 기반의 매칭 과정을 거침으로써 사용자에게 완화된 감성이 내포된 이미지들을 제시해준다. 본 논문에서 제안하는 기법은 얼굴 영상을 이용하여 사용자가 쉽게 감성의 변화를 인지하고, 완화된 감성으로 감정을 트레이닝 할 수 있는 시스템이다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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• pp.175-178
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• 2001

This paper proposes a novel human-computer interaction system for the disabled using recognition of face direction. Face direction is recognized by comparing positions of center of gravity between face region and facial features such as eyes and eyebrows. The face region is first selected by using color information, and then the facial features are extracted by applying a separation filter to the face region. The process speed for recognition of face direction is 6.57frame/sec with a success rate of 92.9% without any special hardware for image processing. We implement human-computer interaction system using screen menu, and show a validity of the proposed method from experimental results.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.312-316
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• 2022

The article provides a theoretical substantiation of the pedagogical interaction of the subjects of the educational process in the context of distance learning; taking into account the identified features of the implementation of pedagogical interaction defined teaching methods in distance learning; a course has been developed that reveals the features of the pedagogical interaction of participants in the educational process in conditions of distance learning. To solve the tasks and check starting points, a set of methods was used: theoretical: analysis of philosophical, psychological and pedagogical literature, dissertation research, curricula, analysis of the conceptual and terminological system; empirical: questioning, conversation, self-diagnosis.

• 한국실내디자인학회논문집
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• 제26권4호
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• pp.12-21
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• 2017

This study is on the constructive ways of body perception applied to architecture space. This research also has a purpose of extending the range of possibility of body perception's application. Research on the phenomenological method applied to architecture space was mainly focused on sensation, which made limited awareness on the range of body perception. The scope of body perception includes not only sensation, but also perception, cognition, and human behavior. Therefore this study explicate how operant features of body perception works together. Operant features of body perception are perception as cognition, synesthesia, and Interaction with others. Herzog & de Meuron, Sejima, and R. Koolhaas's works are reviewed to verify these features of body perception.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.235-245
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• 2008

The interactive advertisement is already on satellite and cable broadcasting hereafter the introduction of this system is concerned on terrestrial programs. This study is to research the effectiveness of interactive TV advertising focusing on factors of involvement and interaction. Study started for the effect measurement of interactive television advertisement. Interactive television advertisement has different concept than existing television advertisement. Thus, the effect also needs to examine in other methods. Study is mainly focusing on the characteristics of interactive and the experiments, which was based on existing data, for measurement of effect. In the experiments, the characteristics were categorized in a search time, a number of searched pages about interactive television advertisement. The research finds that the involvement of the audience increases when the interaction of advertising attitude, brand attitude, and purchase intentions also increases. And so, a successful interactive TV advertisement results in longer searching hours and greater it visits by the audience when the interaction factors are considered and increased. By study of consumer's characteristics and behavior, a new method of the effect measurement for interactive television advertisement is provided. The new method includes not only existing measurement elements of television advertisement which are attitude on advertising and brand, and customers' purpose, but also the features of interactive television advertisement, which are search time, a number of searched pages. Recently added features provides data of the effect on high/low groups and it contributes to the process of interactive television advertisement. Study on interactive television advertisement will be helpful to plan an effective strategy by suggesting the theoretical evidence of its effect.