• Title/Summary/Keyword: 거친 연극

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Creating Theatrical Contents Out of Stage Adaptation of Dongrae-yaru (동래야류의 무대적 수용에 의한 연극 콘텐츠 창출)

  • Lee, Ki-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.1
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    • pp.165-175
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    • 2011
  • The purpose of this research is to investigate the possibility of creating new theatrical contents by performance anthropological approach. Today's traditional performing arts are historically descended and developed in the forms of Ahk, Hee, and Geuk. Among those, Dongrae-yaru is a traditional mask dance, handed down in Dongrae, Pusan and appointed as the 18th intangible cultural asset. Its performance is carried out in the juxtaposition of Ahk, Hee, and Geuk. Korean theatre in the 21st century seems going back to realism after going through post-modern cultural phenomenons. However, the quest for alternative theatre is raised higher than ever. As a part of this strive, this paper asserts the traditional performing arts should be investigated as an alternative and new theatrical form. Among those traditional performing arts, Dongrae-yaru is selected for its well balanced combination of Ahk, Hee, and Geuk. The study examines in depth how each element of Ahk, Hee, and Geuk, they are expressed in forms of folk music, refined dance, jest, satire, wit. Its investigation on the stage adaptation provides the possibility for the new style and codification as the new theatre contents.

Bricolage Showed in Peter Brook's Work & 'The Empty Space' (피터 브룩의 연출 작업과 '빈공간'에 드러나는 브리콜라주)

  • Paik, Hoon-Kie
    • The Journal of the Korea Contents Association
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    • v.10 no.10
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    • pp.161-171
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    • 2010
  • Peter Brook has been often referred to as the most important contemporary theater director in the West. The fact that he has directed many plays without being tied to a single theatrical theory occasionally makes people think he is a eclectic imitator. But when you carefully observe his work, you can understand that his openness is nothing else but the pursuit and examination of theatrical communication. In this context, Brook's idea reminds us of Bricolage. Bricolage has been widely known after the publication of "The Savage Minds". L$\acute{e}$vy-Strauss used the word to describe characteristic patterns of mythological thought in compared with modern scientific thought and regarded it as a system of thought that we need to restore. Director Peter Brook have sought effective ways to fill the empty space with his broad view of theatre and life. His consistent attempt reveals positive theatrical idea with the expansive possibilities of Bricolage thought.

A Study on Classification of Four Emotions using EEG (뇌파를 이용한 4가지 감정 분류에 관한 연구)

  • 강동기;김동준;김흥환;고한우
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.87-90
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    • 2001
  • 본 연구에서는 감성 평가 시스템에 가장 적합한 파라미터를 찾기 위하여 3가지 뇌파 파라미터를 이용하여 감정 분류 실험을 하였다. 뇌파 파라미터는 선형예측기계수(linear predictor coefficients)와 FFT 스펙트럼 및 AR 스펙트럼의 밴드별 상호상관계수(cross-correlation coefficients)를 이용하였으며, 감정은 relaxation, joy, sadness, irritation으로 설정하였다. 뇌파 데이터는 대학의 연극동아리 학생 4명을 대상으로 수집하였으며, 전극 위치는 Fp1, Fp2, F3, F4, T3, T4, P3, P4, O1, O2를 사용하였다. 수집된 뇌파 데이터는 전처리를 거친 후 특징 파라미터를 추출하고 패턴 분류기로 사용된 신경회로망(neural network)에 입력하여 감정 분류를 하였다. 감정 분류실험 결과 선형예측기계수를 이용하는 것이 다른 2가지 보다 좋은 성능을 나타내었다.

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Pattern Classification of Four Emotions using EEG (뇌파를 이용한 감정의 패턴 분류 기술)

  • Kim, Dong-Jun;Kim, Young-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.4
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    • pp.23-27
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    • 2010
  • This paper performs emotion classification test to find out the best parameter of electroencyphalogram(EEG) signal. Linear predictor coefficients, band cross-correlation coefficients of fast Fourier transform(FFT) and autoregressive model spectra are used as the parameters of 10-channel EEG signal. A multi-layer neural network is used as the pattern classifier. Four emotions for relaxation, joy, sadness, irritation are induced by four university students of an acting circle. Electrode positions are Fp1, Fp2, F3, F4, T3, T4, P3, P4, O1, O2. As a result, the Linear predictor coefficients showed the best performance.

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