• KIISE Transactions on Computing Practices
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• v.21 no.5
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• pp.351-358
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• 2015

As smart phones with built-in sensors are developed, research on recognition using wearable devices is increasing. Existing papers are mostly limited on research to personal activity recognition. In this paper, we propose a method to recognize conceptual group activity. Before doing recognition, we generate new data based on the analysis of the conceptual group activity in a classroom. The study focuses on three activities in the classroom environment: Taking Lesson, Doing Presentation and Discussing. With the proposed algorithm, the recognition rate is over 96%. Using this method in real time will make it easy to automatically analyze the activity and the purpose of the classrooms. Moreover, it can increase the utilization of the classroom through the data analysis. Further research will focus on group activity recognition in other environments and the design of an group activity recognition system.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.69-74
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• 2013

In this paper, we propose the pattern classification algorithm of recognizing wrist movements based on electromyogram(EMG) to raise the recognition rate. We consider 30 characteristics of EMG signals wirh the root mean square(RMS) and the difference absolute standard deviation value(DASDV) for the extraction of precise features from EMG signals. To get the groups of each wrist movement, we estimated 2-dimension features. On this basis, we divide each group into two parts with mean to compare and promote the recognition rate of pattern classification effectively. For the motion classification based on EMG, the k-nearest neighbor(k-NN) is used. In this paper, the recognition rate is 92.59% and 0.84% higher than the study before.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.83-94
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• 2011

Main researching issue in affective computing is to give a machine the ability to recognize the emotion of a person and to react it properly. Efforts in that direction have mainly focused on facial and oral cues to get emotions. Postures have been recently considered as well. This paper aims to discriminate emotions posture by identifying and measuring the saliency of posture features that play a role in affective expression. To do so, affective postures from human subjects are first collected using a motion capture system, then emotional features in posture are described with spatial ones. Through standard statistical techniques, we verified that there is a statistically significant correlation between the emotion intended by the acting subjects, and the emotion perceived by the observers. Discriminant Analysis are used to build affective posture predictive models and to measure the saliency of the proposed set of posture features in discriminating between 6 basic emotional states. The evaluation of proposed features and models are performed using a correlation between actor-observer's postures set. Quantitative experimental results show that proposed set of features discriminates well between emotions, and also that built predictive models perform well.

• Korean Journal of Childcare and Education
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• v.6 no.2
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• pp.135-154
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• 2010

This study was to explore the cognition of mothers and directors about the quality of childcare centers and analyze the differences of cognition of two groups. The subjects were 166 mothers and 178 directors in Gwanak-gu, Seocho-gu, Dongjak-gu in Seoul and Suweon-city, Anyang-city in Gyeonggi-do. The instrument of this study was the questionnaire on the quality of childcare center developed by researcher. The collected data were analyzed using t-test in SPSS 12.0 program. The major findings of this study were as follows: First, mothers evaluated that process area was the most important area, followed by service and structure area. Second, directors evaluated that process area was the most important area, followed by structure and service area. Third, directors evaluated overall quality of childcare center higher than mothers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.3
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• pp.173-188
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• 2011

This research intended to identify empirical recommendations for designing the DAISY service interface and used a case-based method. The case of this research was LG Digital Talking Book Library(http://voice.lg.or.kr) of LG Sangnam Library. A group of experts evaluated the current DAISY interface serviced by the web. After evaluation, major recommendations were suggested and these recommendations were used to develop the new DAISY Interface. Major recommendations were consideration of the reading flow of the screen-reader program, prevention of perception as an error about the time delay, development of web-based software, support for convenient functions and prevention of shortcut key overlap and so on.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.187-190
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• 2015

Recently, most of people wants to have smart life for themselves like smart phones. In this paper, we propose the smart elevator based on the laser screen, speakers and air fresheners. Using this elevator, we could enjoy the various screen inside, and we could keep contacting with manager for wifi in the emergency situation. Also, the elevator could be operated with user's motion for Kinect. Finally, we did the survey for understanding preference of smart elevator. The grops are elevator manufacturing company, elevator distribution corporation and consumers, each group have 200 people.