학술논문
Identification of flight task using ensemble empirical mode decomposition based analysis method
Document Type
Conference
Source
제어로봇시스템학회 국제학술대회 논문집. 2015-10 2015(10):375-379
Subject
Language
Korean
ISSN
2005-4750
Abstract
To analyse the difficulty of flight tasks, a novel method was presented in this paper using pupil diameter of pilots. The proposed method integrated ensemble empirical mode decomposition (EEMD) and ratio of high to low frequency wavelet coefficients energy to identify pupil data under different tasks from 5 crews. Compared to the extraction method using wavelet energy entropy, the proposed method got more obvious difference between manual departure and standard instrument departure. The results indicated that the difficulty of flight tasks could be distinguished by pupil diameter of pilots.