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Implementation of the F-B function comparison on the body movement

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 3 Number 1 (2014.05)바로가기
  • 페이지
    pp.20-24
  • 저자
    Jeong-lae Kim, Kyu-sung Hwang, Yong-seok Nam
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A233857

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원문정보

초록

영어
To compare body signal, was designed the F-B function system on the body movement for the comfortable state. To detect subject of the normal state, was decided on the base of physical signal in the body movement. There are to detect the condition of Vision, Vestibular, Somatosensory and CNS. Vision condition was verified a variation of greater average (Vi-ΦAVG-AVG) was presented slightly greater at 17.424±9.65 unit. Vestibular condition was identified a variation of slightly greater average (Ve-ΦAVG-AVG) was presented at 9.068±1.478 unit. Somatosensory condition was checked a variation of smaller average (So-ΦAVG-AVG) was presented slightly smaller at 2.79±0.419 unit. CNS condition was confirmed a variation of diminutive smaller average (C-ΦAVG-AVG) was presented slightly larger at 0.557±0.153 unit. As the model depends on the F-B function system of body movement, average values of these perturbation were computed F-B function comparison data. These systems will be to infer a data algorithm and a data signal processing system for the evaluation of the stability.

목차

Abstract
 1. Introduction
 2. Related research of f-b function signal parameter
 3. Proposed Method of f-b function signal
  A. System of F-B function signal
  B. Algorithm of F-B signal
 4. Results and Discussion
  A. Database
  B. Evaluations
 5. Conclusion
 References

키워드

F-B function system body movement variation of average static posture signal processing data acquisition system

저자

  • Jeong-lae Kim [ Department of Biomedical Engineering Eulji University, Seoul, Korea ]
  • Kyu-sung Hwang [ Department of Funeral Science Eulji University, Seoul, Korea ] Corresponding Author
  • Yong-seok Nam [ Department of Anatomy, Catholic institute for Applied Anatomy Catholic University, Seoul, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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