A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals

Biomedical Signal Processing and Control

Volumn 8, Issue 6, 2013, Pages 740-754

  Singh, Rajiv Ranjan ^a   Conjeti, Sailesh ^a   Banerjee, Rahul ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

Driver safety; Neural network; Physiological signals; Stress level; Wearable driver assist systems

Indexed keywords

ACCIDENTS; BIOFEEDBACK; BIOMEDICAL SIGNAL PROCESSING; CONTROL SYSTEM SYNTHESIS; ELECTROPHYSIOLOGY; EMBEDDED SYSTEMS; HIGHWAY PLANNING; MULTILAYER NEURAL NETWORKS; NETWORK LAYERS; NEURAL NETWORKS; PHYSIOLOGICAL MODELS; RISK ASSESSMENT; WEARABLE COMPUTERS;

COMPREHENSIVE PERFORMANCE; DRIVER ASSISTS; DRIVER SAFETY; NEURAL NETWORK CLASSIFIER; NEURAL NETWORK CONFIGURATIONS; PHOTOPLETHYSMOGRAPHY (PPG); PHYSIOLOGICAL SIGNALS; STRESS LEVELS;

RECURRENT NEURAL NETWORKS;

ACCURACY; ALGORITHM; ARTICLE; CAR DRIVER; DRIVER; DYSTHYMIA; ELECTRODERMAL RESPONSE; FEEDBACK SYSTEM; FEMALE; HUMAN; HUMAN EXPERIMENT; INFORMATION; LEARNING; MALE; NERVE CELL NETWORK; NORMAL HUMAN; PERFORMANCE; PHOTOELECTRIC PLETHYSMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SAFETY; SIGNAL PROCESSING; STRESS;

EID: 84881158367     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.06.014     Document Type: Article

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