메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국사회체육학회 한국사회체육학회지 한국사회체육학회지 제42권 제2호
발행연도
2010.11
수록면
1,021 - 1,034 (14page)
DOI
10.51979/KSSLS.2010.11.42.1021

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This study has been executed with four taekwondo athletes from WTF and four from ITF in order to analyze the dynamic variables of the back kick and the contributions of the segmentation movements between the standards of WTF and ITF. It has focused on the 3-dimensional image analysis. The following results have been drawn from the study. 1. Overall Execution Time 1) There is no difference for the overall execution time of the back kick between the standards of WTF and ITF. 2) There is no difference for the execution time of the back kick at each section between the standards of WTF and ITF. 2. Linear Displacement of the Physical Center 1) There is no difference for the overall displacement of the physical center between the standards of WTF and ITF. 2) There is no difference for the displacement of the physical center at each section between the standards of WTF and ITF. 3. Angle Variables of the Lower Limb Joints There is a slight statistical difference for the angle variables of the knee joints for the back kick between the standards of WTF and ITF (P < 0.05). 4. Angular Speed Variables of the Lower Limb Joints There are slight statistical differences for the angular speeds of hip joints, knee joints and ankle joints between the standards of WTF and ITF. 5. Variables for Contributions After executing the T-test for the contribution of the back kick at each section for the standards of WTF and ITF, it has been found that there is no statistical difference for each physical segmentation movement between the standards of WTF and ITF. However, both groups show different trends at the section of IMP.

목차

등록된 정보가 없습니다.

참고문헌 (29)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0