지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 1,564 - 1,569 (6page)
이용수
초록· 키워드
오류제보하기
This paper deals with parametric identification based on Recursive Least Squares algorithm (RLS) to describe the human handwriting process. The electromyographic EMG signals records of muscle activities in the forearm during handwriting movements contain the adequate information to present this biological process.So, the handwriting process can be described from the relationship between EMG signals and the pen-tip movement. An experimental approach has been carried out to measure the forearm EMG signals and the pen-tip displacements on writing some of fundamental drawing and Arabic letters.These measurements are used to identify the handwriting process. In this research, a new fourth order, linear model is proposed to identify handwriting process. Good qualitative and quantitative agreement was found between traces and trajectories calculated with identified system.
목차
Abstract
1. INTRODUCTION
2. EXPERIMENTAL MEASREMENTS OFHANDWRITING SIGNALS
3. PARAMETRIC IDENTIFICATION OFHANDWRITING PROCESS
4. VALIDATION OF THE PROPOSED MODEL
5. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-569-000915225