• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.432-442
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• 2019

Most current human action recognition methods based on deep learning methods. It is required, however, a very high computational cost. In this paper, we propose an action change detection method to reduce repetitive human action recognition tasks. In reality, simple actions are often repeated and it is time consuming process to apply high cost action recognition methods on repeated actions. The proposed method decides whether action has changed. The action recognition is executed only when it has detected action change. The action change detection process is as follows. First, extract the number of non-zero pixel from motion history image and generate one-dimensional time-series data. Second, detecting action change by comparison of difference between current time trend and local extremum of time-series data and threshold. Experiments on the proposed method achieved 89% balanced accuracy on action change data and 61% reduced action recognition repetition.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.3
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• pp.421-423
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• 2002

Senile involution is divided into two classes : physiological senile involution and pathological senile involution. Physiological senile involution is a natural process of vital action of decreasing Vital Essence and Energy in kidney that is a necessary physiological phenomenon. Pathological senile involution is an evidence of impairment of True Qi of internal human body. Human vital action is a changing process of life, senility, sickness, and death. In other words, this is a natural process of being full and decreasing of Vital Essence and Energy in kidney, and True Qi of human body decides this process. The Vital Essence and Energy in kidney vary, and they are influenced and restricted by various elements. The time of a senile involution varies individually. Human body protects and makes efforts not to leak out True Qi in effective ways. We can postpone a limit of time of physiological senile involution phenomenon. This is called 'Health Preservation' - resistance against senile involution.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.471-476
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• 2016

In this paper, recognition system for continuous human action is explained by using motion history image and histogram of oriented gradient with spotter model based on depth information, and the spotter model which performs action spotting is proposed to improve recognition performance in the recognition system. The steps of this system are composed of pre-processing, human action and spotter modeling and continuous human action recognition. In pre-processing process, Depth-MHI-HOG is used to extract space-time template-based features after image segmentation, and human action and spotter modeling generates sequence by using the extracted feature. Human action models which are appropriate for each of defined action and a proposed spotter model are created by using these generated sequences and the hidden markov model. Continuous human action recognition performs action spotting to segment meaningful action and meaningless action by the spotter model in continuous action sequence, and continuously recognizes human action comparing probability values of model for meaningful action sequence. Experimental results demonstrate that the proposed model efficiently improves recognition performance in continuous action recognition system.

• Journal of Navigation and Port Research
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• v.32 no.4
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• pp.279-285
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• 2008

We have proposed modeling methods of mariners' standard behavior for collision avoidance by analyzing mariners' recognition process in a previous study. As a subsequent study, the aim of this study is to build a model of mariners' execution process which is one of six processes in the condition of collision avoidance. In this study, thus, the structure of mariners' information processing on the process of taking avoiding actions is described and the relation between mariners' behavior and necessary factors in the process is analyzed. And then we have built a model of mariners' standard behavior for execution process based on the characteristics of mariners in ship-handling, which are obtained from the international collaborative research on human factors. It is tried to define the contents of execution process based on the standard behavior of mariners for collision avoidance and to formulate information processing of mariners.

• Science of Emotion and Sensibility
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• v.6 no.1
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• pp.55-62
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• 2003

This study was an exploratory approach to the cognitive model of textile designers on the stage of motif development in textile design process. Prior to the main research, several previous studies adopting methods of video/audio protocol analysis were reviewed. On the basis of the review, the categories of design action were derived as an analysis frame by application of top-down access method, meanwhile the sub-groups of each category of design action were identified through a bottom-up access method. To summarize the research result, total three categories of textile design action appeared based on the theory of ‘Human processor’ model : ‘motor action’, ‘perceptual action’ and 'cognitive action'. In next, a new coding scheme suitably explaining these three categories of fertile design action was developed. Finally, a cognitive model of textile designer on the stage of motif development, employing the new coding scheme, was suggested in this study.

• Journal of Broadcast Engineering
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• v.19 no.2
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• pp.166-173
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• 2014

Recently, human action recognition have been developed for various broadcasting and video process. Since a video can consist of various scenes, keypoint approaches have been more attracted than template based methods for real application. Keypoint approahces tried to find regions having motion in video, and made 3-dimensional patches. Then, descriptors using histograms were computed from the patches, and a classifier based on machine learning method was applied to detect actions in video. However, a single classifier was difficult to handle various human actions. In order to improve this problem, approaches using multi classifiers were used to detect and to recognize objects. Thus, we propose a new human action recognition using decision-level fusion with support vector machine and sparse representation. The proposed method extracted descriptors based on keypoint approach from a video, and acquired results from each classifier for human action recognition. Then, we applied weights which were acquired by training stage to fuse each results from two classifiers. The experiment results in this paper show better result than a previous fusion method.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.5
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• pp.1180-1186
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• 1999

A wide ranges of chemicals released into the environment have potential to interfere with physiological and development process by disrupting endocrine pathways. Endocrine system embraces a multitude of mechanisms of action, including effect on growth, behavior, reproduction and immune function. These environmental endocrine disruptors are present in environment and pose potential health consequences to human and wildlife. The best known form in endocrine distruptors involves substances which mimic or block the action of natural hormone in the body. Endocrine disruptor have been variously defined as exogenous agents that interfere with the synthesis, secretion, transport, metabolism, binding action or elimination of the natural hormones in the body which are responsible for the maintenance of homeostasis, reproduction developmental and/or behavior. Many compounds polluted into the environment by human activity are capable of disrupting the endocrine system of animals, including fish, wildlife, and humans. Among these chemicals are pesticides, industrial chemicals, and other anthropogenic products. It has been alleged that several adverse effects on human health are linked with exposure to chemicals which are claimed to be endocrine disrupters, that is, increased incidence of testicular, prostate and female breast cancer, time dependent reductions in sperm quality and quantity, increased incidence of cryptorchidism (undescended testicles) and hypospadias(malformation of the penis), altered physical and mental de velopment in children. This observation is currently the only example of chemically mediated endocrine disruption which has resulted in a clear effect at the population level.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.189-198
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• 2010

This study is aimed at proposing the framework of international cooperation business in HRD KOREA. To achieve this goal I collected all of data that were used in process of international cooperation business in HRD KOREA and interviewed some people to get information from the people concerned. After that I analyzed data involved in using SWOT technique and proposed the framework of international cooperation business in HRD KOREA. The conclusions are as these. First, alliances must be vitalized between businesses besides between organizations. For example 'Developing of voluntary comeback program for foreigner' and 'Establishment of HRD KOREA Center' can be proposed as action plans for this strategy. Second, glocalization must be pushed ahead. For example 'Business career monitoring system for PMC' can be proposed as action plan. Third, building of preemptive base must be done. For example 'Standing of international HRD forum' can be proposed as action plan. Fourth, reinforcement of organizational competency must be done. For example 'The program for internationalization' can be proposed as action plan. Fifth, SBU(Strategic Business Unit) must be pushed ahead. For example 'Customer diversification portfolio' can be proposed as action plan.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.37.1-37
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• 2001

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.299-308
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• 2014

Various literatures related computing of information processing have been recently shown the researches inspired from the remarkably excellent human capabilities which recognize and categorize very complex visual patterns such as body motions and facial expressions. Applied from human's outstanding ability of perception, the classification function of visual sequences without context information is specially crucial task for computer vision to understand both the coding and the retrieval of spatio-temporal patterns. This paper presents a biological process based action recognition model of computer vision, which is inspired from visual information processing of human brain for action recognition of visual sequences. Proposed model employs the structure of neural fields of bio-inspired visual perception on detecting motion sequences and discriminating visual patterns in human brain. Experimental results show that proposed recognition model takes not only into account several biological properties of visual information processing, but also is tolerant of time-warping. Furthermore, the model allows robust temporal evolution of classification compared to researches of action recognition. Presented model contributes to implement bio-inspired visual processing system such as intelligent robot agent, etc.