• Proceedings of the KIEE Conference
• /
• 2002.11c
• /
• pp.7-10
• /
• 2002

This paper describes a method of comfortableness evaluation using 4-channel EEGs. The proposed method uses the linear predictor coefficients as EEG feature parameters and neural network as comfortableness pattern classifier. For subject independent system, multi-templates are stored and the most similar template can be selected. Changing the temperature and humidity conditions, 4-channel EEG signals for 10 subjects are collected. As a result, the developed algorithm showed about 66.7% performance in the comfortableness evaluation.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.53 no.5
• /
• pp.374-379
• /
• 2004

This paper proposes an algorithm for human sensibility evaluation using 4-channel EEG signals of the prefrontal and the parietal lobes. The algorithm uses an artificial neural network and the multiple templates. The linear prediction coefficients are used as the feature parameters of human sensibility. Comfortableness for chairs and temperature/humidity are evaluated. Many conventional researches have emphasized that a wave of left prefrontal lobe is activated in case of positive sensibility and that of right prefrontal lobe is activated in case of negative sensibility. So the power ratio of a wave is obtained from FFT computation and the results are compared. The results of the comfortableness evaluation for temperature and humidity showed that the outputs of the proposed algorithm coincided with corresponding sensibilities depending on the task of the temperature and the humidity. The . conventional method using a wave is hardly related with comfortableness. And it is also observed that the uncomfortable state due to the high temperature and humidity can be easily changed to the comfortable state by small drop of the temperature and the humidity. It seems to be good results to get 66.7％ of evaluation performance in spite of using EEG and the subject independent approach.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.52 no.12
• /
• pp.702-707
• /
• 2003

This study describes a new technique for human sensibility evaluation using electroencephalogram(EEG). Production of EEG is assumed to be linear. The linear predictor coefficients and the linear cepstral coefficients of EEG are used as the feature parameters of sensibility and pattern classification performances of them are compared. Using the better parameter, a human sensibility evaluation algorithm is designed. The obtained results are as follows. The linear predictor coefficients showed the better performance in pattern classification than the linear cepstral coefficients. Then, using the linear predictor coefficients as the feature parameter, a human sensibility evaluation algorithm is developed at the base of a multi-layer neural network. This algorithm showed 90% of accuracy in comfortableness evaluation in spite of fluctuations in statistics of EEG signal.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.9
• /
• pp.3168-3175
• /
• 2010

Lumber support as the part of automotive seat supports the pressure applied on waist by clearing the tiredness of passenger at long driving. In this study, lumbar support of automotive seat is modelled. Various bids are built up at its bed. The main purpose is to look for adequate model on comfortableness by calculating displacement according to applied force when some passenger sit at automotive seat. Full build -up type of 5 rows can be seen most suitable for passenger's comfortableness and its durability as the inner displacement of 5mm and contact force of 500 N.

• The Research Journal of the Costume Culture
• /
• v.17 no.1
• /
• pp.120-131
• /
• 2009

The purpose of this study was to suggest the repositioning strategy for Korean character/career women's wear brands by comparing them with masstige brands. The subjects were 240 Women in their twenties and early forties in Seoul and the metropolitan area. The data had been collected by self-administered questionnaire and analyzed by frequency and biplot. The results of the study were as follows: (1) The brand preference was 'Time'(33.3%), 'Michaa'(12.5%), and then 'Mine'(8.8%) in sequence; (2) For brand differentiation, the attributes of 'store image', 'comfortableness', 'brand reputation', and 'promotion' were found out to be important in sequence; (3) The national character/career brands were favored by theirs 'store image', 'quality', and 'design', while imported masstige brands were favored by theirs 'comfortableness', 'brand reputation', 'promotion', and 'perceived price'; (4) Among brands, 'Time' had been highly evaluated, but comparatively showed weakness on 'perceived price', 'comfortableness', and 'promotion'.

• KIEAE Journal
• /
• v.9 no.5
• /
• pp.69-76
• /
• 2009

The purpose of this study is to provide basic data needed for planning and designing apartment community facilities in order to vitalize rental apartments. Outdoors community facilities of six rental apartments in Seoul were examined. The results are as follows. Firstly, the conditions of planning characteristics showed that the convenience is ranked as the highest priority of planning, compared to safety, friendliness and finally comfortableness. Community facilities are connected with the apartments and sidewalk providing convenient access for all apartment residents, there was little regard given to the features of comfortableness. Secondly, comfortableness of community facilities were shown to the lowest, compared to any characteristics. It is not easy to control noise and privacy in facility, and there are lack of near community facilities, for washing hands, drinking water and shielding from snow or rain, respectively. Thirdly, green facilities were shown to the highest applied friendliness more than other facilities. They were well outfitted with water space and gardening spaces, and robustly applied environment friendly materials and colors. Fourthly, resting facilities were shown to the lowest applied safety more than other facilities. Structure and material of facility are favorable but there is an absence of nonskid material and night-lightening system.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2004.05a
• /
• pp.150-151
• /
• 2004

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.670-674
• /
• 2005

$D^*$ criterion is defined as a reference of the handling quality and ride comfortableness for lateral-directional automobile motion. However it is generally difficult to obtain the satisfied handling quality and ride comfortableness based on $D^*$ criterion by conventional two wheel steering system. In this study, a design method of model matching control system is proposed to obtain the satisfied $D^*$ response of 4 Wheel Steering.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.991-992
• /
• 2008

When we heard the sound of waves, we can feel stable and comfortable. I'm going to analysis the cause of comfortableness. The period is about three seconds when we breathed in relaxed state. The frequencies which in waves sound and meditation or heavy sleep are alike. Furthermore we can see that frequency is distributed in all over band width like white noise. In this paper, we confirm the fact that waves sound give comfortableness to us with Frequency Following Response.

• Journal of Digital Contents Society
• /
• v.7 no.1
• /
• pp.47-52
• /
• 2006

This paper proposes an algorithm for human sensibility evaluation using 4-channel EEG signals of the prefrontal and the parietal lobes. The algorithm uses an artificial neural network and the multiple templates. The linear prediction coefficients are used as the feature parameters of human sensibility. Comfortableness and temperature/humidity are evaluated. Many conventional researches have emphasized that a wave of left prefrontal lobe is activated in case of positive sensibility and that of right prefrontal lobe is activated in case of negative sensibility. So the power ratio of n wave is obtained from for computation and the results are compared. The results of the comfortableness evaluation for temperature and humidity showed that the outputs of the proposed algorithm coincided with corresponding sensibilities depending on the task of the temperature and the humidity. The conventional method using a wave is hardly related with comfortableness. And it is also observed that the uncomfortable state due to the high temperature and humidity can be easily changed to the comfortable state by small drop of the temperature and the humidity.