• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.213-222
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• 2021

This study tried to identify the factors influencing the visual factors of fashion virtual influencers(FVI), on follower behavioral intention and addiction. As the number of fans of FVI is increasing these years, and the addiction phenomenon of social platforms is also increasing, researchers thought that a study to confirm the behavioral intention of fans and the path to addiction through the visual factors of FVI would be necessary. According to the research results, it was confirmed that among the visual factors of FVI, attractiveness affects authenticity through expertise. In addition, researchers confirmed that authenticity influences flow through relationship maintenance of behavioral intention, and authenticity influences addiction through flow. Thus, researchers verified the path leading to FVI's visual factors to behavioral intention and addiction, such as visual factors and authenticity, authenticity and behavioral intention, and behavioral intention and addiction. Researchers hope to conduct research with various content types of FVI, other social platforms.

• The KIPS Transactions:PartB
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• v.18B no.5
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• pp.305-314
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• 2011

Research into the visual perception of human emotion to recognize an intention has traditionally focused on emotions of facial expression. Recently researchers have turned to the more challenging field of emotional expressions through body posture or activity. Proposed work approaches recognition of basic emotional categories from body postures using neural model applied visual perception of neurophysiology. In keeping with information processing models of the visual cortex, this work constructs a biologically plausible hierarchy of neural detectors, which can discriminate 6 basic emotional states from static views of associated body postures of activity. The proposed model, which is tolerant to parameter variations, presents its possibility by evaluating against human test subjects on a set of body postures of activities.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.67-70
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• 2004

카플란과 노턴에 의해 1992년에 처음 소개된 BSC (Balanced Scorecard)의 '재무', '고객', '내부프로세스' 그리고 '학습과 성장'의 4개 시각 중 '학습과 성장' 시각의 핵심성과지표를 도출하는 것이 본 연구의 목적이다. 기존 연구에서 제시된 평가 지표의 한계점을 제시하고 성과지표 도출의 근원을 조직 행동론에서 제시하고 있는 성과개념과 과정이론에서 밝혀냄으로서 '학습과 성장'시각의 목표인 다른 세 시각의 하부구조 및 동인을 달성하고자 조직 행동이론 관점의 핵심성과지표를 제시하고자 한다. 또한 정보기술이 기업의 장기적인 역랑을 배가시키고 경쟁우위를 확보하기 위한 전략적 수단으로 인식됨에 따라 정보기술의 역할 및 효과성에 대한 측정과 평가가 중요한 이슈로 떠오르고 있기 때문에 '학습과 성장' 시각에서 인적자원의 역랑과의 균형있는 정보기술 역량을 측정하고 평가할 수 있는 지표를 제시하고자 한다. 이는 기업 경영활동의 근간이 되는 구성원과 단위조직, 그리고 정보기술이 기업성과데 미치는 영향을 정확히 파악하고 그 결과를 구성원과 조직의 보상체계로 연결시킬 수 있는 객관적인 잣대로서 작용하게 된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.645-653
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• 2004

The prediction and its visualization on fish behaviour in relation to fishing gear are carried out based on field detection and observation during fishing operation. However, field observation is very difficult due to variable underwater environments and accordingly due to complex, chaotic response of fish behaviour in the physiological and ecological points. Therefore simple graphic display in previous results was not enough to represent real underwater images of the fishing gear and fish behaviour. In this study more actual visualization technique was developed using by previous fish behaviour model with chaos theory in order to predict, evaluate or analyse complex and non-linear phenomena of response patterns in complex fish behaviour. In addition, display of the fish finder was also designed to simulate the underwater fish detection and distribution in fishing ground. This suggested visualization tool was very similar to the information of the fish movement in the field observation in visual underwater reality and useful to check up between simulations and observations.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.35-44
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• 2016

To apply the player's experiences to the design process of the game levels set by the developer, gameplay behavior analysis is needed. The player's behavior which is different by how much he got experiences from the play has generally been studied by one computational approach based on numerical data and the other HCI(human-computer interaction) approach through heuristic analysis. For the analysis of the player's behavior with the level design patterns in FPS(first-person shooter) games, in this paper those methods are used to code 12 main types of action, which in turn is simply categorized into 5 kinds of behavior pattern. Along with it, an optimized visualization is proposed to intuitively compare the flow of behavior pattern with the time of playing game.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.173-181
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• 2022

Purpose: The purpose of this study was to examine the safety awareness and safety behaviors of personal assistant for visual impairments. Method: This study was targeted at 263 personal assistant for blind people from May to June 2021. Research subjects who wished to participate in the study expressed their intention to participate through the recruitment documents and gave written consent before participating in the study. Result: First, the safety awareness and safety behavior were high among the personal assistants who had practical fire extinguisher practice experience and education on how to act in a disaster situation. In addition, when the emergency rescue method was educated, the life safety awareness and fire safety awareness were high, but there was no difference in the awareness of disaster safety, and the safety behavior was higher. Third, the higher the life safety awareness, fire safety awareness, and disaster safety awareness of personal assistant for the visually impaired, the higher the safety behavior. Conclusion: This study revealed that it is important to provide appropriate safety education to personal assistant and implement a program to raise safety awareness so that the visually impaired can live a safer life.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.75-82
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• 2021

Online action detection (OAD) in a streaming video is an attractive research area that has aroused interest lately. Although most studies for action understanding have considered action recognition in well-trimmed videos and offline temporal action detection in untrimmed videos, online action detection methods are required to monitor action occurrences in streaming videos. OAD predicts action probabilities for a current frame or frame sequence using a fixed-sized video segment, including past and current frames. In this article, we discuss deep learning-based OAD models. In addition, we investigated OAD evaluation methodologies, including benchmark datasets and performance measures, and compared the performances of the presented OAD models.

• Journal of KIISE
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• v.42 no.1
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• pp.138-143
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• 2015

In this paper we develop a novel human action recognition system based on communication between an ear-mounted Bluetooth camera and an action recognition server to aid scene recognition for the blind. First, if the blind capture an image of a specific location using the ear-mounted camera, the captured image is transmitted to the recognition server using a smartphone that is synchronized with the camera. The recognition server sequentially performs human detection, object detection and action recognition by analyzing human poses. The recognized action information is retransmitted to the smartphone and the user can hear the action information through the text-to-speech (TTS). Experimental results using the proposed system showed a 60.7% action recognition performance on the test data captured in indoor and outdoor environments.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.3
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• pp.14-26
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• 2022

Objective : This study investigated the effect of a remote sensory integrated family program on the visual seeking and stereotyped behavior of children with autism spectrum disorder. Methods : This study was conducted as a single-subject study, a mid-baseline design for three children with autism spectrum disorder, and the intervention was conducted 4 times a week for 4 weeks. All three children confirmed the changes in visual seeking and stereotyped behavior after the intervention. Results : After the intervention, visual seeking and stereotyped behavior decreased compared with the baseline period. Visual seeking decreased on average after 7.59% at intervention, and stereotyped behavior decreased by 6.81 on average. Conclusion : Through this study, it was confirmed that the remote sensory integration home program is effective in visual seeking and stereotyped behavior of children with autism spectrum disorder. Addionally it is useful as a new intervention method a program that allows parents to participate in the intervention process. and it is emphasized that occupational therapists should create and promote cooperative relationships for children intervention.

• 한국게임학회지
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• v.6 no.1
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• pp.52-54
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• 2009

프로그램된 정보를 사용하는 자율 가상 캐릭터는 항상 반복된 패턴 행동을 하기 때문에 사용자가 흥미를 잃는 경우가 많고 현실성도 떨어진다. 본 논문에서는 이러한 문제점을 해결하기 위해, 자율 가상캐릭터가 자율적으로 인지한 정보를 저장하고 저장한 정보를 활용하여 상황에 맞는 행동을 수행할 수 있는 메모리 체계를 제안한다. 본 논문은 자율 가상 캐릭터가 시각 주목으로 인지한 정보를 저장하고 관리하는 메모리 체계의 모델을 제시한다. 메모리 용량을 효율적으로 사용할 수 있도록 게임 환경에 적합한 빠른 시각 주목 알고리즘을 연구하여 중요하고 눈에 띄는 정보만 저장한다. 자율 가상 캐릭터의 인지 메모리를 크게 시각 기억와 공간 관계 기억 구조로 구성한다. 시각 기억은 쿼드그래프로 구현된 저장 구조에 인지한 정보를 저장한다. 공간 관계 기억은 공간 관계 그래프 이론을 기반으로 객체들간의 방향과 거리 정보를 저장한다. 본 논문의 제안 방법을 가상 환경에서 실험한 결과, 자율 가상 캐릭터는 시각 주목 기능으로 3차원 가상 환경의 동적 객체까지 감지하여 자율적으로 정보를 주목하여 저장하고 있음을 확인했다. 자율 가상캐릭터는 메모리 정보를 활용하여 목표 객체를 빠르게 탐색하며 길찾기에 필요한 경로 계획을 수립한다. 성능면에서는 주목맵만들기 위한 특징맵으로 가장 주목할 수 있는 특징들로 구성하여 처리속도가 1.6배 이상 향상됨을 확인했다.