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
백진호 (강원대학교) 이용식 (서울산업대학교) 윤창선 (한국체육대학교)
저널정보
한국체육과학회 한국체육과학회지 한국체육과학회지 제19권 제3호 (자연과학편)
발행연도
2010.8
수록면
1,399 - 1,409 (11page)

이용수

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

초록· 키워드

오류제보하기
Recently according to the movement of F.I.G, it is estimated that bonus points for linked techniques will be limited as much as possible so that it would induce development of creativity for high level technique. Therefore, our athletes should be interested in developing high level technique rather than learning skill which can be utilized for bonus points in the future.
Currently, various activities are held for technical analysis, but because it requires much effort and time for courses such as camera shooting movements, complex data handling, and etc. in limited conditions, immediate feedback is not actually realized. For such reason, information of excellent athletes in the world cannot be obtained, so it cannot be said that its efficiency reaches a high level.
In such aspect, the study intends the followings. First, it intends to develop technical analysis system with multimedia function so that athletes could be provided with feedback quickly during training or competing. Second, it intends to establish a basis for providing efficient feedback to athletes by establishing a database which is actually applied after being modified and supplemented by focusing on previous studies and data.
The technical analysis system immediately provides feedback information, minimizing the errors of apparatus gymnastics athletes while learning techniques so that they could easily learn high level techniques. In the future, it requires extension to floor exercise and pommel horse, and continuous security in the system is required. Also, web based operation should be considered so that all gymnastic athletes could use it.

목차

Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과 및 논의
Ⅳ. 결론 및 제언
참고문헌

참고문헌 (13)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2010-692-002742960