An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2011, Pages 1477-1482

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

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC SIGNALS; DRIVING ERRORS; FEATURE WEIGHT; GALVANIC SKIN RESPONSE; PHOTOPLETHYSMOGRAPHY; PHYSIOLOGICAL DATA; PHYSIOLOGICAL SIGNALS; REAL TIME; RECOVERY PROCEDURE; RESEARCH AREAS; SENSORY ELEMENTS; SHAPE BASED; STATISTICAL TREND ANALYSIS; WEARABLE COMPUTING;

BIOELECTRIC PHENOMENA; ELECTROPHYSIOLOGY; INTELLIGENT SYSTEMS; SIGNAL DETECTION; WEARABLE COMPUTERS;

REAL TIME SYSTEMS;

EID: 83755163748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6082900     Document Type: Conference Paper

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