Evolvable Block-based Neural Networks for classification of driver drowsiness based on heart rate variability

ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"

Volumn , Issue , 2012, Pages 156-161

  Nambiar, Vishnu P ^a   Khalil Hani, Mohamed ^a   Sia, C W ^a   Marsono, M N ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Block based neural networks (BbNNs); driver drowsiness; electrocardiogram (ECG); genetic algorithm (GA); heart rate variability (HRV)

Indexed keywords

BLOCK BASED; BLOCK-BASED NEURAL NETWORKS; CLASSIFICATION ACCURACY; COMPUTATIONAL SPEED; DETECTION SYSTEM; DRIVER DROWSINESS; ELECTROCARDIOGRAM SIGNAL; EVOLVABLE; HARDWARE IMPLEMENTATIONS; HEART RATE VARIABILITY; HIGH SPEED; PHYSIOLOGICAL STATE; RESOURCE CONSUMPTION; VEHICLE SYSTEM;

GENETIC ALGORITHMS; HARDWARE; HEART; HIGHWAY ACCIDENTS; NEURAL NETWORKS; SUSTAINABLE DEVELOPMENT;

ELECTROCARDIOGRAPHY;

EID: 84873944285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCircuitsAndSystems.2012.6408316     Document Type: Conference Paper

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