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Data Processing And Machine Learning Methods For Multi-Modal Operator State Classification SystemsThis document is intended as an introduction to a set of common signal processing learning methods that may be used in the software portion of a functional crew state monitoring system. This includes overviews of both the theory of the methods involved, as well as examples of implementation. Practical considerations are discussed for implementing modular, flexible, and scalable processing and classification software for a multi-modal, multi-channel monitoring system. Example source code is also given for all of the discussed processing and classification methods.
Document ID
20160001344
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Hearn, Tristan A.
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
February 2, 2016
Publication Date
June 1, 2015
Subject Category
Numerical Analysis
Computer Programming And Software
Man/System Technology And Life Support
Report/Patent Number
E-19094
NASA/TM-2015-218824
GRC-E-DAA-TN19951
Funding Number(s)
WBS: WBS 284848.02.03.03.05.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
Machine learning
Human factors engineering
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