Fusion of state space and frequency-domain features for improved microsleep detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3697 LNCS, Issue , 2005, Pages 753-759

  Sommer, David ^a   Chen, Mo ^b   Golz, Martin ^a   Trutschel, Udo ^c   Mandic, Danilo ^b  

^a University of Applied Sciences Schmalkalden   (Germany)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c Circadian Technologies Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; GENETIC ALGORITHMS; LEARNING SYSTEMS; VECTOR QUANTIZATION;

ELECTROOCULOGRAM (BOG); FREQUENCY-DOMAIN FEATURES; LEARNING VECTOR QUANTIZATION (LVQ); MICROSLEEP DETECTION; NON-MICROSLEEP (NMSE) EVENTS;

STATE SPACE METHODS;

EID: 33646248900     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

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