• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.201-213
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• 2013

This study was conducted to identify adults' knowledge, attitude, dietary behavior, and lifestyle for cancer prevention, and to examine the relation between these variables. The participants were 414 adults in the Jeonbuk area. The data were analyzed using Pearson correlation coefficients, ANOVA and Duncan test with SPSS v. 12.0. The score for participants' knowledge about cancer was 23.98 points of a possible 30, the score for attitude towards cancer was 44.46 points of a possible 55, the score for preventive dietary behavior for cancer was 36.79 points of a possible 55, and their score for preventive lifestyle for cancer was 29.76 points of a possible 40. The knowledge, attitude towards cancer, dietary behavior, and lifestyle for cancer prevention showed significant differences according to the general characteristics (e.g., age, religion, monthly income, educational level, job, health condition, and interests). There was a significant positive correlation between knowledge about cancer, attitude towards cancer, dietary behavior, and lifestyle for cancer prevention. Dietary behavior for cancer prevention showed a positive correlation with lifestyle for cancer prevention. In conclusion, it is necessary to consider the related factors for the development and implementation of systematic education programs that can encourage and promote preventive health behavior for cancer among adults.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.143-151
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• 2013

As we recognize the space, humans will experience a process to synthesize elements of cognitive various methods, come to understand the environment. It is intended that on humans to recognize the space, it is intended to act directly under study how to recognize. Humans can know that the determining action based on the values and physical condition, based on the space in which they have been recognized, there are differences in the behavior of the human as a result. Social and arrangement of components - physical region that is cultural difficulties constitute experience specific areas therein. Space for human activities and human, can know that it is not a memory of human behavior, to have a closer relationship with human perception. That is, the description will be aware of the space via the perceptual phenomenon of man due to physical elements performed in the space, what acts about what happens. Through an understanding of the potential for this, and emotion space production consisting only of physical visual element future, and use act of the area to be expressed from his recognition, through the expansion of the perceptual elements, diverse experience richer and more it is a case where deemed necessary access space configuration capable of a broad depth study of this portion is happening, in order to constitute a space, a new interpretation for human behavior is progressing.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.634-636
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• 2023

Surveillance systems play a pivotal role in ensuring the safety and security of various environments, including public spaces, critical infrastructure, and private properties. However, detecting abnormal human behavior in lowlight conditions is a critical yet challenging task due to the inherent limitations of visual data acquisition in such scenarios. This paper introduces a spatiotemporal framework designed to address the unique challenges posed by low-light environments, enhancing the accuracy and efficiency of human abnormality detection in surveillance camera systems. We proposed the pre-processing using lightweight exposure correction, patched frames pose estimation, and optical flow to extract the human behavior flow through t-seconds of frames. After that, we train the estimated-action-flow into autoencoder for abnormal behavior classification to get normal loss as metrics decision for normal/abnormal behavior.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.6
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• pp.599-605
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• 2014

This paper presents the interactive behavior modeling method based on POMDP (Partially Observable Markov Decision Process) for HRI (Human-Robot Interaction). HRI seems similar to conversational interaction in point of interaction between human and a robot. The POMDP has been popularly used in conversational interaction system. The POMDP can efficiently handle uncertainty of observable variables in conversational interaction system. In this paper, the input variables of the proposed conversational HRI system in POMDP are the input information of sensors and the log of used service. The output variables of system are the name of robot behaviors. The robot behavior presents the motion occurred from LED, LCD, Motor, sound. The suggested conversational POMDP-based HRI system was applied to an emotional robot KIBOT. In the result of human-KIBOT interaction, this system shows the flexible robot behavior in real world.

• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.81-93
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• 2003

This study was conducted to analyze working mother's affectionate and authoritarian behavior according to social demographic variables, life satisfaction, self-esteem, and Job characteristics. Questionnaires were developed and administered to 152 working mothers with 5th and 6th emementary school graders in Gwangju City. The results of this study can be summarized as follows : First, there was no significant differences in working mothers' child-rearing behavior according to social demographic variables. Second, affectionate behavior showed a significant difference according to all sub-factors of self-esteem, and authoritarian behavior showed a significant difference only in moral behavior and self-value. Third, there was a significant difference in both child-rearing behavior according to life satisfaction of working mothers. Fourth, according to job-related variables, there was a significant difference in the affectionate behavior, but not in the authoritarian behavior. Fifth, moral behavior and self-value had significant positive influencies on mother's affectionate behavior, and life satisfaction had negative influencies on authoritarian behavior.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2314-2318
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• 2010

For human-robot interaction, a robot should recognize the meaning of human behavior. In the case of static behavior such as face expression and sign language, the information contained in a single image is sufficient to deliver the meaning to the robot. In the case of dynamic behavior such as gestures, however, the information of sequential images is required. This paper proposes behavior classification by using fuzzy classifier to deliver the meaning of dynamic behavior to the robot. The proposed method extracts feature points from input images by a skeleton model, generates a vector space from a differential image of the extracted feature points, and uses this information as the learning data for fuzzy classifier. Finally, we show the effectiveness and the feasibility of the proposed method through experiments.

• International Journal of Human Ecology
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• v.13 no.1
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• pp.159-169
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• 2012

This study examined how financial education, impulsive buying, and socio-demographic factors affect saving behavior of 500 Korean college students. The descriptive results show that students who received financial education reported more positive saving behavior compared to students who did not receive financial education in school. The OLS results indicate that all else being equal, students with financial education reported more positive saving behavior than those without financial education. As predictors of saving behavior among Korean college students, the OLS results also reveal that impulsive buying, gender, and age were statistically significant. This study concludes that receiving financial education early, such as in elementary school, plays an important role in determining the saving behavior of Korean college students.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1525-1530
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• 2003

In this paper, a model of adaptive individual life support system is proposed from the viewpoint of cybernetics. This model is derived based on the relation between human behavior and human action, static and dynamic in processing speed, and abstract/concrete. In applications, task and information of human which includes in this system analyzed by paying attention to cybernetics. This paper shows a few actual example of modeling by fundamental adaptive individual life support model such as medical diagnosis, health care and education support. Finally as an example, design and implementation are concretely carried out for health care support system. This is also a method to design a information support system which is involved in human.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.984-990
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• 2005

The aim of this paper is to investigate a control framework for mobile robots, operating in shared environment with humans. The Intelligent Space (iSpace) can sense the whole space and evaluate the situations in the space by distributing sensors. The mobile agents serve the inhabitants in the space utilizes the evaluated information by iSpace. The iSpace evaluates the situations in the space and learns the walking behavior of the inhabitants. The human intelligence manifests in the space as a behavior, as a response to the situation in the space. The iSpace learns the behavior and applies to mobile agent motion planning and control. This paper introduces the application of fuzzy-neural network to describe the obstacle avoidance behavior teamed from humans. Simulation results are introduced to demonstrate the efficiency of this method.

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.1-7
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• 2009

Most industrial accidents occur when the workers' unsafe behavior and the unsafe situation of workplace take place at the same time. Although human's unsafe behavior is indispensable to work field, the evaluation scheme to detect the causes for the accident resulted from human's unsafe behavior and counterplan should be prepared to prevent and reduce accident. To do this, we first classify the specific background factors in terms of human inner factor and environment factor and then develop the AHP (Analytic Hierarchy Process) model to analyze the background factors that affect the worker's unsafe behavior. We also develop a checklist to be able to evaluate the occurrence possibility of individual worker's unsafe behavior.