• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.891-896
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• 2007

지금까지 진행된 제스처 인식 연구는 한 사람을 대상으로 정적인 환경을 가정하여 이루어져 왔다. 본 논문에서는 복수의 등장인물이 존재하는 환경에서 대화 상대를 선택하여 제스처를 인식하는 방법에 대해 기술한다. 먼저 복수의 인물이 존재하는 환경에서 배경영역을 제외한 행위자의 영역을 추출한다. 그 후 각각의 행위자를 트래킹하면서 카메라와 가장 가까이 있는 행위자를 대화 상대자로 선택한다. 대화상대자가 선택되면 스테레오 카메라에서 입력된 영상에서 추출된 실루엣 이미지를 이용하여 얼굴과 두 손을 특징 영역으로 하여 매 프레임마다 Kalman filter를 사용하여 각 영역을 트래킹한다. 트래킹되는 특징 영역의 2차원 좌표 값을 모델 제스처의 2차원 좌표 값과 비교하여 가장 높은 유사값을 갖는 모델 제스처를 입력 제스처로 인식하게 된다. 본 논문에서 사용한 방법은 복수의 등장인물이 있는 경우 효과적으로 행위 대상자를 선택하여 제스처를 인식할 수 있다. 또한 제스처 인식에 있어서 단순한 큐 매칭을 사용함으로써 계산이 복잡하지 않은 장점이 있다. 실험을 통해 본 논문에서 제시한 방법을 적용함으로써 복수의 인물이 등장하는 환경에서 제스처 인식이 가능함을 입증한다.

• Hwankyungkyoyuk
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• v.11 no.1
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• pp.165-180
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• 1998

The purpose of this study is to investigate how much people recognise and participate in wastes recycling and to give suggestions for systematic environmental education on the recycling. Subject's recognition degree on recycling mark which had been established by The Ministry of Environment in 1995 was very low and the recycling mark should be educated because it would help people consider the environmental factor when purchase goods which are recyclable or not. They acknowledged simple recycling methods of recyclable goods much but not the complex methods of them. So they need the systematic education on recycling method through which continuous participation of them would be arisen. In the while there is no mention about recycling mark in textbooks which are currently used in Korean elementary schools, middle schools and high schools. Not only the mark but also any kind of environmental information should be updated in environmental textbooks/learning materials to cultivate students environmental literacy to meet current environmental issues dynamically and solve environmental problems in the future successfully.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.87-98
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• 2012

Understanding agent's intent is an essential component of the human-computer interaction of ubiquitous computing. Because correct inference of subject's intention in ubiquitous computing system helps particularly to understand situations that involve collaboration among multiple agents or detection of situations that can pose a particular activity. This paper, inspired by people have a mechanism for interpreting one another's actions and for inferring the intentions and goals that underlie action, proposes an approach that allows a computing system to quickly recognize the intent of agents based on experience data acquired through prior capabilities of activities recognition. To proceed intention recognition, proposed method uses formulations of Hidden Markov Models (HMM) to model a system's prior experience and agents' action change, then makes for system infer intents in advance before the agent's actions are finalized while taking the perspective of the agent whose intent should be recognized. Quantitative validation of experimental results, while presenting an accurate rate, an early detection rate and a correct duration rate with detecting the intent of several people performing various activities, shows that proposed research contributes to implement effective intent recognition system.

• Journal of the East Asian Society of Dietary Life
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• v.11 no.6
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• pp.446-454
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• 2001

With the rapid expansion of the economy, consumers' interest in health has also grown and the consumption of health foods is also growing at a rapid rate. However, because of the lack of understanding and Information about health foods, there is growing discontentment societally and in relation to the consumers' individual health. This study was conducted to get consumers to use the health food soundly and provide useful information to consumer behavior researchers of health food by researching consumers' past consumption experience and recognition of health foods. 662 people over the age of 20 in the Seoul area were sampled for this study. Through the results of this study, it was revealed that 71.5% of the respondents said they consumed health foods in the past year. The people surveyed said they thought they were health on the whole(3.72) and were slightly concerned (3.30) with their health. Lastly. the results of the studying the recognition of health food, respondents believe that health foods help to maintenance of good health(3.63) recover from fatigue(3.59), prevent of disease(3.32). They also believe that it is not harmful to the body(2.85) but were concerned about additives(3.24) and side effects(3.24) The study also found consumers to think that health foods are expensive(4.03) but is not of the highest quality(2.84) and that the dosage is not exact(2.84). In addition. they believe the labeling to be accurate(2.89), the ads to be exaggerated(3.88). information about the products to be lacking(3.71) and finally refund or exchange to be difficult(3.85).

• Journal of Korean society of Dental Hygiene
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• v.17 no.1
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• pp.133-144
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• 2017

Objectives: The purpose of this study was to examine the oral health care of oral prophylaxis practice lab visitors, their recognition of oral care supplies, their use of oral care supplies by type, and influential factors for their recognition and use of oral care supplies. Methods: The subjects in this study were 275 people who visited an oral prophylaxis practice lab at a university located in an urban community. The visitors were respectively interviewed from March to June, 2016, and the data from 260 respondents who properly responded were analyzed, and data from 15 visitors who provided incomplete responsees were excluded. Statistical analysis was performed using the nonparametric tests, mann-whitney test and kruskal-wallis test, and multiple regression analysis using SPSS. Results: The mean score of oral care products was 2.25, the average degree of use was 0.09, and dental floss (0.29) was the most used oral care product. There was a significant difference between the groups according to gender (p<0.001), age (p<0.001) and marital status (p<0.001). Factors influencing the perception of oral care products were experience in brushing education and experience in oral care products education. Conclusions: The recognition of the oral prophylaxis practice lab visitors about oral care supplies and their use of the supplies were under the influence of oral health education. Therefore, sustained efforts should be directed into the development of efficient oral health care education programs that can inform people about the importance of oral health care, publicize oral care supplies, and encourage the use of these supplies.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.49-56
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• 2020

The virtual Korean keyboard system is a method of inputting characters by touching a fixed position. This system is very inconvenient for people who have difficulty moving their fingers. To alleviate this problem, this paper proposes an efficient framework that enables keyboard input and handwriting through video and user motion obtained through the RGB camera of the mobile device. To develop this system, we use face recognition to calculate control coordinates from the input video, and develop an interface that can input and combine Hangul using this coordinate value. The control position calculated based on face recognition acts as a pointer to select and transfer the letters on the keyboard, and finally combines the transmitted letters to integrate them to perform the Hangul keyboard function. The result of this paper is an efficient writing system that utilizes face recognition technology, and using this system is expected to improve the communication and special education environment for people with physical disabilities as well as the general public.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.295-304
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• 2014

The purpuse of this study is to find factors on the recognition by people involved in occupational safety and health of KOSHA 18001, the need of KOSHA 18001 certification, and the compliance by each medical institution with KOSHA 18001 review standards to help medical institutions introduce and use OSHMS. There was a survey of people involved in occupational safety and health at 300 local general hospitals with 100 or more beds that were registered with the Korean Hospital Association in 2012. The survey included the recognition of KOSHA 18001, the need of certification and the compliance by medical institutions of the occupational safety and health. A total of 132 people responded, of which an analysis of 126 cases was conducted except 6 cases poor in information.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.9
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• pp.1347-1355
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• 2015

In this study, we compare the recognition performance using PCA and RBFNNs for introducing robust face recognition system to pose variations based on pose estimation. proposed face recognition system uses Honda/UCSD database for comparing recognition performance. Honda/UCSD database consists of 20 people, with 5 poses per person for a total of 500 face images. Extracted image consists of 5 poses using Multiple-Space PCA and each pose is performed by using (2D)²PCA for performing pose classification. Linear polynomial function is used as connection weight of RBFNNs Pattern Classifier and parameter coefficient is set by using Particle Swarm Optimization for model optimization. Proposed (2D)²PCA-based face pose classification performs recognition performance with PCA, (2D)²PCA and RBFNNs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1390-1403
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• 2016

Facial expression recognition (FER) plays a very significant role in computer vision, pattern recognition, and image processing applications such as human computer interaction as it provides sufficient information about emotions of people. For video-based facial expression recognition, depth cameras can be better candidates over RGB cameras as a person's face cannot be easily recognized from distance-based depth videos hence depth cameras also resolve some privacy issues that can arise using RGB faces. A good FER system is very much reliant on the extraction of robust features as well as recognition engine. In this work, an efficient novel approach is proposed to recognize some facial expressions from time-sequential depth videos. First of all, efficient Local Binary Pattern (LBP) features are obtained from the time-sequential depth faces that are further classified by Generalized Discriminant Analysis (GDA) to make the features more robust and finally, the LBP-GDA features are fed into Hidden Markov Models (HMMs) to train and recognize different facial expressions successfully. The depth information-based proposed facial expression recognition approach is compared to the conventional approaches such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA) where the proposed one outperforms others by obtaining better recognition rates.

• Electronics and Telecommunications Trends
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• v.34 no.6
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• pp.133-144
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• 2019

Although deep learning-based visual image recognition technology has evolved rapidly, most of the commonly used methods focus solely on recognition accuracy. However, the demand for low latency and low power consuming image recognition with an acceptable accuracy is rising for practical applications in edge devices. For example, most Internet of Things (IoT) devices have a low computing power requiring more pragmatic use of these technologies; in addition, drones or smartphones have limited battery capacity again requiring practical applications that take this into consideration. Furthermore, some people do not prefer that central servers process their private images, as is required by high performance serverbased recognition technologies. To address these demands, the object and scene recognition technologies for mobile/embedded devices that enable optimized neural networks to operate in mobile and embedded environments are gaining attention. In this report, we briefly summarize the recent trends and issues of object and scene recognition technologies for mobile and embedded devices.