The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Untuk merealisasikan kerjasama yang harmoni dengan pengendali, sistem koperasi manusia-mesin hendaklah direka bentuk supaya bersesuaian dengan ciri-ciri kemahiran pengendali. Salah satu pertimbangan penting dalam analisis kemahiran adalah untuk menyiasat mekanisme pensuisan yang mendasari dinamik kemahiran. Sebaliknya, gabungan skema suapan dan maklum balas telah terbukti berjaya dalam pemodelan kemahiran manusia. Dalam kertas kerja ini, model kemahiran bertukar stokastik baharu untuk tugas gelongsor, di mana gerakan jerk minimum dan skema maklum balas dibenamkan dalam keadaan diskret yang berbeza, dicadangkan. Kemudian, algoritma anggaran parameter untuk model kemahiran bertukar yang dicadangkan diperolehi. Akhir sekali, beberapa kelebihan dan aplikasi model yang dicadangkan dibincangkan.
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Salinan
Hiroyuki OKUDA, Hidenori TAKEUCHI, Shinkichi INAGAKI, Tatsuya SUZUKI, Soichiro HAYAKAWA, "Identification of Positioning Skill Based on Feedforward/Feedback Switched Dynamical Model" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 11, pp. 2755-2762, November 2009, doi: 10.1587/transfun.E92.A.2755.
Abstract: To realize the harmonious cooperation with the operator, the man-machine cooperative system must be designed so as to accommodate with the characteristics of the operator's skill. One of the important considerations in the skill analysis is to investigate the switching mechanism underlying the skill dynamics. On the other hand, the combination of the feedforward and feedback schemes has been proved to work successfully in the modeling of human skill. In this paper, a new stochastic switched skill model for the sliding task, wherein a minimum jerk motion and feedback schemes are embedded in the different discrete states, is proposed. Then, the parameter estimation algorithm for the proposed switched skill model is derived. Finally, some advantages and applications of the proposed model are discussed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2755/_p
Salinan
@ARTICLE{e92-a_11_2755,
author={Hiroyuki OKUDA, Hidenori TAKEUCHI, Shinkichi INAGAKI, Tatsuya SUZUKI, Soichiro HAYAKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Identification of Positioning Skill Based on Feedforward/Feedback Switched Dynamical Model},
year={2009},
volume={E92-A},
number={11},
pages={2755-2762},
abstract={To realize the harmonious cooperation with the operator, the man-machine cooperative system must be designed so as to accommodate with the characteristics of the operator's skill. One of the important considerations in the skill analysis is to investigate the switching mechanism underlying the skill dynamics. On the other hand, the combination of the feedforward and feedback schemes has been proved to work successfully in the modeling of human skill. In this paper, a new stochastic switched skill model for the sliding task, wherein a minimum jerk motion and feedback schemes are embedded in the different discrete states, is proposed. Then, the parameter estimation algorithm for the proposed switched skill model is derived. Finally, some advantages and applications of the proposed model are discussed.},
keywords={},
doi={10.1587/transfun.E92.A.2755},
ISSN={1745-1337},
month={November},}
Salinan
TY - JOUR
TI - Identification of Positioning Skill Based on Feedforward/Feedback Switched Dynamical Model
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2755
EP - 2762
AU - Hiroyuki OKUDA
AU - Hidenori TAKEUCHI
AU - Shinkichi INAGAKI
AU - Tatsuya SUZUKI
AU - Soichiro HAYAKAWA
PY - 2009
DO - 10.1587/transfun.E92.A.2755
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2009
AB - To realize the harmonious cooperation with the operator, the man-machine cooperative system must be designed so as to accommodate with the characteristics of the operator's skill. One of the important considerations in the skill analysis is to investigate the switching mechanism underlying the skill dynamics. On the other hand, the combination of the feedforward and feedback schemes has been proved to work successfully in the modeling of human skill. In this paper, a new stochastic switched skill model for the sliding task, wherein a minimum jerk motion and feedback schemes are embedded in the different discrete states, is proposed. Then, the parameter estimation algorithm for the proposed switched skill model is derived. Finally, some advantages and applications of the proposed model are discussed.
ER -