• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.4
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• pp.180-188
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• 2003

The vehicle simulator is a useful virtual reality system. The simulator enables engineers to effectively research and analyze various experiments. Therefore, the development of a specific vehicle simulator is required, and its performance must be verified. This paper verifies the performance of Pusan National University Vehicle Simulator. Human sensibility ergonomic tests of vehicle simulator were also executed. The sense of simulator motion was chosen as the standard of performance evaluation. The driver's senses were subdivided into senses of rectilinear and rotational velocities. This study extracted ergonomic sensibility words that can be used to evaluate the performance of the simulator As a practical application of simulator, the relation was studied between the sense of simulator motion and the characteristics of drivers, who are classified into their sexes and driving careers. A statistical method was applied to human sensibility ergonomic tests of vehicle simulator.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.11
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• pp.528-534
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• 2002

This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.68-69
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• 2011

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.9-17
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• 2006

As is commonly said, music is 'language of emotions.' It is because sound is a plentiful modality to communicate the human sensibility information. However, most researches of auditory displays were focused on improving efficiency on user's performance data such as performance time and accuracy. Recently, many of researchers in auditory displays acknowledge that individual preference and sensible satisfaction may be a more important factor than the performance data. On this ground, in the present study we constructed the sound sensibility dimensions ('Pleasure', 'Complexity', and 'Activity') and systematically examined the attributes of sound on the sensibility dimensions and analyzed the meanings. As a result, sound sensibility dimensions depended on each sound attributes , and some sound attributes interact with one another. Consequently, the results of the present study will provide the useful possibilities of applying the affective influence in the field of auditory displays needing the applications of the sensibility information according to the sound attributes.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2690-2692
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• 2002

This paper describes a technique for human sensibility evaluation using 10-channel EEG(electroencephalogram). The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as, relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance using the proposed method is about 72.6%. This will be promising performance in the human sensibility evaluation.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.299-307
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• 2009

The purposes of this study ate to evaluate sensibility performance of metallic Jacquard fabrics, and to contribute to the research and development of the women's suit made of the metallic Jacquard fabrics. eight fabrics were woven with two kinds of warp yarns(nylon and rayon) and weft yarn blended with various contents(0, 7, 14, 21%) of metallic yarn. The sensibility performances such as sensory, touch preference and buying preference for memory fabrics of the metallic Jacquard fabrics were evaluated, and mechanical properties were measured by KES-FB system. The correlation between the mechanical properties and the sensibility performance were analyzed. As the metal fiber content increased, the sensory evaluation value of lustered, wrinkly, sandy, rustle and stiff increased, the sensory evaluation value of slippery and damp decreased. As the metal fiber content increased, the touch preference decreased and the buying preference increased. The touch preference had negative correlation with the metal fiber content, but the buying preference had positive correlation with it.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.99-100
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• 2011

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1506-1511
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• 2018

This study presents a human sensibility evaluation method using neural network and multiple-template method on electroencephalogram(EEG). We used a multi-layer perceptron type neural network as the sensibility classifier using EEG signal. For our research objective, 10-channel EEG signals are collected from the healthy subjects. After the necessary preprocessing is performed on the acquired signals, the various EEG parameters are estimated and their discriminating performance is evaluated in terms of pattern classification capability. In our study, Linear Prediction(LP) coefficients are utilized as the feature parameters extracting the characteristics of EEG signal, and a multi-layer neural network is used for indicating the degree of human sensibility. Also, the estimation for human comfortableness is performed by varying temperature and humidity environment factors and our results showed that the proposed scheme achieved good performances for evaluation of human sensibility.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.2
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• pp.123-131
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• 2002

Simulators have been used to evaluate drivers'reactions to various transportation products. Most researches, however, have been concentrated on their technical performance, thus this paper considers drivers'senses of moving on a vehicle simulator through the analysis of human sensibility ergonomics. A sensibility ergonomic method is proposed in order to improve the faithfulness of vehicle simulators. A simulator of passenger vehicle consists of such three modules as vehicle dynamics, virtual environment, and motion representation modules. To evaluate drivers'feedback, human feelings are categorized into a set verbal expressions collected and investigated to find the most appropriate ones for translational and angular accelerations of the simulator The cutoff frequency of the washout alter ill the representation module is selected as one sensibility factor Sensibility experiments were carried out to find correlation between the expressions and the cut-off frequency of the filter. This study suggests a methodology to obtain an ergonomic database which can be applied to the sensibility evaluation of dynamic simulators.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.26-37
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• 2020

The purpose of this study is to verify the relationship between the entrepreneurship and management strategy perceived by the members of SMEs and their organizational performance. First, as a result of the hypothesis that the entrepreneurship of one hypothesis had a significant influence on organizational performance, risk sensibility, progressiveness, and innovation, which are entrepreneurship, had a positive influence on both financial and non-financial performance. Second, as a result of verifying the influence relationship of the hypothesis two entrepreneurship on the management strategy, risk sensibility, progressiveness, and innovation, which are entrepreneurship, were statistically significant for the management strategy, cost advantage strategy, differentiation strategy, and centralization strategy. Therefore, in order to practice management strategy based on entrepreneurship, it was analyzed to influence mutual cohesion. Third, the management strategy showed a positive influence on organizational performance. In particular, only the centralization strategy, a type of SMEs' management strategy, confirmed the positive impact on the financial and non-financial performance. Therefore, the importance of entrepreneurship and management strategy has been emphasized in order for SMEs to create organizational performance through the advancement of sustainability management system.