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Analysis of the Body Control System Related to Mental Workload : Analisi del sistema di controllo corporeo in relazione con il carico di lavoro cerebrale, in: International Journal of Advanced Robotic Systems

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Autore Naito, Seiji; Kim, Youngwoo; Obinata, Goro
Pubblicato  InTech Open Access Publisher, 2012
edizione  
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Abstract In this paper, we present a model‐based
analysis of the standing posture control mechanism
with consideration to mental workload and the
physiological features of sensory feedback. It has been
known that standing posture control is not performed
autonomously or unconsciously but is affected by
“working memory” [1]. In order to investigate how
mental workload in working memory influences
standing posture control, we consider the feedback
groups in the standing posture control mechanism
which include the viscoelastic characteristics of the
musculoskeletal system and sensory feedback. We use a
centre of pressure (COP)‐based tracking task to
investigate the influence of mental workload on
voluntary (tracking) movement. Maurer‐Peterka’s
model is applied to analyse the standing posture control
mechanism, with respect to a change in the internal
processes. The simulation results show the relationship
of the feedback gain and its delay from the central
nervous system with the standing posture control
performance. The proposed model‐based scheme
provides a comprehensive view for physiological data
analysis of human body movement in relation to mental
workload.
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Articoli a Rivista
2000 ed oltre
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autore: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Pubblicato: 2004
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Documents: International Journal of Advanced Robotic Systems
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Administrative information
Time of publication 2012
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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