• 한국운동역학회지
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• 제16권1호
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• pp.151-158
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• 2006

The purpose of this study was to find out the kinematical characteristics of arm's basic position in ballet. In order to achieve the purpose of the study, 3D cinematographic analysis was conducted with a ballerina who might performed the perfect arm's basic position. According to the results of this study, it was appeared that the shoulder kept about 78%-82%, the elbow kept about 62%-96%, the wrist kept 52%-109%, and finger kept 48%-110% with the height. Also, movement was formed with $21^{\circ}-77^{\circ}$ of the upper arm angle, $106^{\circ}-164^{\circ}$ of the elbow, $125^{\circ}-140^{\circ}$ of the wrist, and $83^{\circ}-160^{\circ}$ of the shoulder. The left-right ratio of the total arm angle was 98% in the first, second, and third position, and 100% in the forth position. The angle of arm gradient was remained $-68^{\circ}$ in the first position, $-27^{\circ}$ in the second position, $73^{\circ}$ in the third position, and $-11^{\circ}$ in the forth position. Based on the results mentioned above, balance and symmetry of both arms was an important factor in those four positions. Although it is impossible to maintain the position like robot, it may be a good performance if a certain level of extent was remained With respect to this point of view, it may be a good position if the difference between right and left arm in each joint can be remained within 2%. Angle also was an important factor that if the difference in total angle can be remained within 2% it may be an excellent position, there was difference of right and left based on the joint though. Therefore, practice and instruction to make a perfect symmetry as much as possible were needed Also, it would be a good movement if position and angle of joint within 2% difference of right and left arm can be remained In turn, because ballet is movement with expression of the body, beauty of the body and balance of the movement have to be harmonized for beautiful performance. Therefore, it would be a meaningful future study considering the body condition and movement of ballerina to define the beauty.

• 전기전자학회논문지
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• 제24권2호
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• pp.654-660
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• 2020

본 논문은 근육 동작시의 뇌파의 출력을 통해 불확실성이 상당히 존재하는 EEG 신호 안에서 좌우완 근육의 동작이나 사용자의 의지가 포함된 근육 신호 출력 시의 특정 부위 뇌파를 추출하여 좌우 동작 구분이 가능한 뇌파의 특징 벡터를 찾아낼 수 있는지를 확인한다. 일반적인 표면 근전도와 비침습적인 방식의 뇌파 추출 방법으로는 내부 신경 전달에 의한 이온화 정도와 전기 전도도의 크기를 통해서 그 동작 신호인지 구분할 수 있는 방법이 존재하지 않는다. 일반 로봇 제어 시스템이나 전기 신호를 통한 관절 및 모터 제어의 경우는 특정 신호의 전달 및 피드백 제어를 통해 관절 및 로봇 제어기를 제어할 수 있는 신호를 확인할 수 있지만, 인간의 인체는 정확한 뇌와 근육간의 프로토콜을 찾을 근거가 부족하다. 따라서 본 논문에서는 피험자의 동작이 이루어질 경우의 뇌파 분석을 통해 좌완의 신호와 우완의 신호를 특정할 만한 근거 신호 또는 특징 벡터를 추출할 수 있는지 확인하기 위해 CSP(Common Spatial Pattern) 필터의 적용 결과 활용하여 효율성을 검증한다. 더불어 검증을 위한 실험 설계를 통해 데이터를 획득하고, 필터 적용 유무에 따른 결과의 변화가 어떠한지 검증하며 구분 정확도를 높일 수 있는 방법을 제안한다.