• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 26-27 Oct. 1990
• /
• pp.1190-1195
• /
• 1990

A new system for automatic interpretation of the awake electroencephalogram(EEG) was developed in this work. We first clarified all the necessary items for EEG interpretation in accordance with an analysis of visual inspection of the rhythms by a qualified electroencephalographer (EEGer), and then defined each item quantitatively. Concerning the automatic interpretation, we made an effort to find out specific EEG parameters which faithfully represent the procedure of visual interpretation by the qualified EEGer. Those specific EEG parameters were calculated from periodograms of the EEG time series. By using EEG data of 14 subjects, the automatic EEG interpretation system was constructed and compared with the visual interpretation done by the EEGer. The automatic EEG interpretation thus established was proved to be in agreement with the visual interpretation by the EEGer.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권7호
• /
• pp.3401-3420
• /
• 2018

Pixel expansion and contrast are two major performance parameters for visual cryptography scheme (VCS), which is a type of secret image sharing. Random Grid (RG) is an alternative approach to solve the pixel expansion problem. Chen and Tsao proposed the first (k, n) RG-based VCS, and then Guo et al., Wu et al., Shyu, and Yan et al. significantly improved the contrast in recent years. However, the investigations on improving the contrast of threshold RG-based VCS are not sufficient. In this paper, we develop a contrast-improved algorithm for (k, n) RG-based VCS. Theoretical analysis and experimental results demonstrate that the proposed algorithm outperformers the previous threshold algorithms with better visual quality and a higher accuracy of contrast.

• 수산해양기술연구
• /
• 제52권1호
• /
• pp.42-47
• /
• 2016

This study was conducted to investigate visual threshold of nigro (Cichlasoma nigrofasciatum) on white LED light. The visual threshold was obtained by analyzing electrocardiogram (ECG) of the nigro. 5 individuals (body weight: 15.62~45.49 g; TL: 8.9~12.4 cm) were trained for lights by an electric stimulus. And then the heart rate (beats/10s) before and after switching on the light were compared. Light intensity range was from 0.00 to 226.4 lux. Average heart rate was 10.36 beats/10s in the normal condition. When the fish perceived the light, the heart rate was decreased. Visual threshold of the fish was 2.59 lux.

• 한국초등과학교육학회지:초등과학교육
• /
• 제30권4호
• /
• pp.482-489
• /
• 2011

This study analyzed the visual images covering 'the changes of weather' in elementary science textbooks by 2007 curriculum revision from a perspective of linguistics. The findings showed that there were inclined to increasing in terms of ideational and textual metafunctions. It meant that the informative images were increased and the form of images became more abstractive. It also showed an increase in terms of interpersonal metafunctions. It was interpreted as decreasing the ratios of images inducing epistemological detachments and increasing images help familiarity and involvement between images and readers. These results showed that the visual images of 'the changes of weather' in 2007 revised elementary science textbook were professionally, technical, and abstractive in terms of the contents and formality. And these trends of images were complemented by the involvement and familiarity of images in the aspect of interpersonal metafunctions.

• 감성과학
• /
• 제1권1호
• /
• pp.93-103
• /
• 1998

In this paper, we present change of human sensiblity when the 26 healthy female subjects were exposed with visual picture stimulus. We used Intermational Affective Picture System as the visual stimulus. The methods are AutoRegressive(AR) spectrum which is a linear method and Return Map which is a nonlinear mithod. SR spectrum may variability(HRV). The LF/HF of HRV and the variation of Return Map were analyzed from ECG signal of the female subjects. Return Map of RR intervals were analyzed by computiong the variation. When the subjets were stimulated by the pleasant pictures, LF/HF and variation were decreased compared with unpleasant stimulus, We may obtain good parameters for the measurement of the change of human sensibility for the visual picture stimulus.

• 한국생활과학회지
• /
• 제15권5호
• /
• pp.811-821
• /
• 2006

The purpose of this report was to study visual effect and functional effect of waist line location of slacks for females in 20'. 1. Differences of visual effect of slacks waist line change to be expressed that mature, sexual and casual slacks waist line were W4 or W5, looks like long leg and mature and formal slacks waist line was W1, slim lower part of the body and flat slacks waist line was W4. 2. Analysis result of functional effect difference with the location variation of slacks waist line were as follows. In all motions(M1, M2, M3, M4) W2 that downed 7cm-6cm-6cm from natural waist line was valued as the most comfortable, W1 and W5 were valued as discomfortable, where waist line was too high or too low.

• Journal of Information Processing Systems
• /
• 제9권4호
• /
• pp.592-601
• /
• 2013

Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the appropriate frequency. Secondly, we applied the Gaussian Mixture Model (GMM) to locate the object region. By incorporating the visual attention analysis into object segmentation, our proposed approach is able to narrow the search region for object segmentation, so that the accuracy is increased and the computational complexity is reduced. The experimental results indicate that our proposed approach is efficient for object segmentation in natural images, especially for small objects. Our proposed method significantly outperforms traditional GMM based segmentation.

• 한국전자통신학회논문지
• /
• 제9권11호
• /
• pp.1277-1282
• /
• 2014

본 논문에서는 청소년의 집중과 관련된 EEG신호를 분석하는 것을 목적으로 하여 글자 시각자극 과제로 제시했을 때 유발되는 EEG신호를 분석한 결과를 제시한다. 시각자극 과제는 글 속에서 틀린 조사들을 찾는 것이다. 본 실험에서는 선행연구결과에 따라 EEG신호 중에서도 특히 SMR파와 중간 베타파를 분석하는데 초점을 맞추었다. 실험결과로서 피험자의 집중력과 상관성이 높은 채널의 위치와 중간 베타파 대역을 제시하였다.

• International Journal of Internet, Broadcasting and Communication
• /
• 제16권2호
• /
• pp.75-80
• /
• 2024

Research on the visual narrative impact of Unreal Engine's Lumen lighting system in games aims to delve into how Lumen's lighting technology plays a crucial role in game design and gameplay experience, thereby enhancing the visual storytelling of games. Lumen, Unreal Engine's dynamic global illumination solution, calculates lighting and shadows in real-time during gameplay, creating a more realistic and immersive environment. Analysis indicates that Lumen technology not only provides visually realistic and dynamic lighting effects but also significantly enriches the expressiveness and immersion of the game narrative through its changes in light and shadow.

• Journal of Information Processing Systems
• /
• 제20권3호
• /
• pp.328-336
• /
• 2024

Visual communication is widely used and enhanced in modern society, where there is an increasing demand for spirituality. Museum robots are one of many service robots that can replace humans to provide services such as display, interpretation and dialogue. For the improvement of museum guide robots, the paper proposes a human-robot interaction system based on visual communication skills. The system is based on a deep neural mesh structure and utilizes theoretical analysis of computer vision to introduce a Tiny+CBAM mesh structure in the gesture recognition component. This combines basic gestures and gesture states to design and evaluate gesture actions. The test results indicated that the improved Tiny+CBAM mesh structure could enhance the mean average precision value by 13.56% while maintaining a loss of less than 3 frames per second during static basic gesture recognition. After testing the system's dynamic gesture performance, it was found to be over 95% accurate for all items except double click. Additionally, it was 100% accurate for the action displayed on the current page.