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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Para concretizar a cooperação harmoniosa com o operador, o sistema cooperativo homem-máquina deve ser concebido de modo a acomodar-se às características da habilidade do operador. Uma das considerações importantes na análise de habilidades é investigar o mecanismo de mudança subjacente à dinâmica das habilidades. Por outro lado, a combinação dos esquemas feedforward e feedback provou funcionar com sucesso na modelagem das habilidades humanas. Neste artigo, é proposto um novo modelo de habilidade comutada estocástica para a tarefa de deslizamento, em que um movimento de jerk mínimo e esquemas de feedback são incorporados nos diferentes estados discretos. Em seguida, o algoritmo de estimativa de parâmetros para o modelo de habilidade comutada proposto é derivado. Por fim, são discutidas algumas vantagens e aplicações do modelo proposto.
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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
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@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},}
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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 -