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Estimation of Arbitrary Human Models from Anthropometric Dimensions Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Hybrid BFO-PSO and Kernel FCM for the Recognition of Pilot Performance Influenced by Simulator Movement Using Diffusion Maps

Authors : Jia Bo, Yin-Bo Zhang, Lu Ding, Bi-Ting Yu, Qi Wu, Shan Fu

Published in: Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health

Publisher: Springer International Publishing

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Abstract

This paper proposed a novel data reduction and classification method to analyze high-dimensional and complicated flight data. This method integrated diffusion maps and kernel fuzzy c-means algorithm (KFCM) to recognize two types of simulator modes at different tasks. To optimize the unknown parameters of the KFCM, a hybrid bacterial foraging oriented (BFO) and particle swarm optimization (PSO) algorithm was also presented in this paper. This algorithm increased the possibility of finding the optimal values within a short computational time and avoided to be trapped in the local minima. By using the proposed approach, this paper obtained meaningful clusters respecting the intrinsic geometry of the standard data set, and illustrated the phenomenon that the pilots vestibular influenced pilot performance and control system under the Manual departure task.

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previous chapter Process Analysis of the Hand Lay-Up Method Using CFRP Prepreg Sheets
next chapter A Bi-level Optimization Approach to Get an Optimal Combination of Cost Functions for Pilot’s Arm Movement: The Case of Helicopter’s Flying Aid Functions with Haptic Feedback
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Metadata
Title
Hybrid BFO-PSO and Kernel FCM for the Recognition of Pilot Performance Influenced by Simulator Movement Using Diffusion Maps
Authors
Jia Bo
Yin-Bo Zhang
Lu Ding
Bi-Ting Yu
Qi Wu
Shan Fu
Copyright Year
2015
Book
Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health

Print ISBN: 978-3-319-21069-8

Electronic ISBN: 978-3-319-21070-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-21070-4_24