As we entered the field of airborne cognitive avionics, we quickly realized the data management challenges the field presents. We employ large number of data sensors including 128-channel EEG, electrocardiogram (EKG), galvanic skin response (GSR), pulse oximetry, skin temperature, respiration rate, thermal imaging and eye tracking. The sensors produce data at varying sampling rates and must be synchronized with each and with the aircraft state. Further, the sheer volume of data created (tens of gigabytes per run) creates analysis challenges of its own.
Cognitive Avionics Toolset For Operator State Classifacation Based On Physiological Signals
2007 IEEE/AIAA 26th Digital Avionics Systems Conference ; 6.A.5-1-6.A.5-7
01.10.2007
4892150 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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