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Adaptive washout algorithm based fuzzy tuning for improving human perception

Asadi,H, Mohammadi,A, Mohamed,S, Zadeh,DR and Nahavandi,S 2014, Adaptive washout algorithm based fuzzy tuning for improving human perception. In Loo,CK, Yap,KS, Wong,KW, Teoh,A and Huang,K (ed), Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III, Springer, Berlin, Germany, pp.483-492, doi: 10.1007/978-3-319-12643-2_59.

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Title Adaptive washout algorithm based fuzzy tuning for improving human perception
Author(s) Asadi,HORCID iD for Asadi,H orcid.org/0000-0002-3620-8693
Mohammadi,A
Mohamed,SORCID iD for Mohamed,S orcid.org/0000-0002-8851-1635
Zadeh,DR
Nahavandi,SORCID iD for Nahavandi,S orcid.org/0000-0002-0360-5270
Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III
Editor(s) Loo,CK
Yap,KS
Wong,KW
Teoh,A
Huang,K
Publication date 2014
Series Lecture notes in computer science ; v.8836
Chapter number 59
Total chapters 83
Start page 483
End page 492
Total pages 10
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) Fuzzy Logic
Human perception
Motion Cueing Algorithm
Washout filter
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Summary The aim of this paper is to provide a washout filter that can accurately produce vehicle motions in the simulator platform at high fidelity, within the simulators physical limitations. This is to present the driver with a realistic virtual driving experience to minimize the human sensation error between the real driving and simulated driving situation. To successfully achieve this goal, an adaptive washout filter based on fuzzy logic online tuning is proposed to overcome the shortcomings of fixed parameters, lack of human perception and conservative motion features in the classical washout filters. The cutoff frequencies of highpass, low-pass filters are tuned according to the displacement information of platform, workspace limitation and human sensation in real time based on fuzzy logic system. The fuzzy based scaling method is proposed to let the platform uses the workspace whenever is far from its margins. The proposed motion cueing algorithm is implemented in MATLAB/Simulink software packages and provided results show the capability of this method due to its better performance, improved human sensation and exploiting the platform more efficiently without reaching the motion limitation.
ISBN 9783319126425
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-12643-2_59
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070717

Document type: Book Chapter
Collection: Centre for Intelligent Systems Research
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