Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45749
Title: Modelling of the state of consciousness during G-force loading using neural network
Authors: Kam, Iris Sok Yee
Keywords: DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
Issue Date: 2011
Abstract: G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering and etc. Neural network is therefore appropriate for developing intelligent diagnostic tools for complex situation such as classifying the conscious or unconscious state of mind for the aircraft operator given real time information on variables such as heart beat, blood pressure and so on.
URI: http://hdl.handle.net/10356/45749
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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