Open AccessAnalysis of the Body Control System Related to Mental Workload
Author(s) -
Seiji Naito,
Youngwoo Kim,
Goro Obinata
Publication year - 2012
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/52249
Subject(s) - workload , computer science , task (project management) , control (management) , mechanism (biology) , tracking (education) , simulation , physical medicine and rehabilitation , artificial intelligence , psychology , medicine , pedagogy , philosophy , management , epistemology , economics , operating system
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