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Knowledge Discovery Processes Implemented in Evaluating Wearable Sensors in High Performance Jet Aircraft
Conference proceeding   Peer reviewed

Knowledge Discovery Processes Implemented in Evaluating Wearable Sensors in High Performance Jet Aircraft

Dallas H. Snider, G. Merrill Rice, Thomas B. VanBrunt and Robert E. Hoyt
2016 International Conference on Computational Science and Computational Intelligence (CSCI), pp.51-56
International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, NV, USA, 12/15/2016–12/17/2016)
01/01/2016
DOI: https://doi.org/10.1109/CSCI.2016.16
Web of Science ID: WOS:000405582400009

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Abstract

Commercial off the shelf biosensors have become ubiquitous in the fields of exercise physiology and have been utilized in a variety of extreme environments. Recently, two COTS biosensors have been validated with regards to their accelerometry compared to the F/A-18 jet aircraft. Furthermore, they have shown promise in monitoring inflight physiologic data during high performance maneuvers. This paper describes the knowledge discovery processes implemented during this study to evaluate the performance of wearable sensors in F/A-18s during practice flights conducted by the U.S. Navy's Flight Demonstration Squadron, The Blue Angels. Challenges in data integration, data transformation and noise handling will be presented along with future plans to expand the study to other aircraft.

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