Feature selection and combination for stress identification using correlation and diversity

Proceedings of the 2012 International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2012

Volumn , Issue , 2012, Pages 37-43

  Deng, Yong ^a   Hsu, D Frank ^b   Wu, Zhonghai ^a   Chu, Chao Hsien ^c  

^a PEKING UNIVERSITY   (China)

^b FORDHAM UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

combinatorial fusion; correlation; diversity; feature selection; sensor fusion; stress identification

Indexed keywords

COMBINATION METHOD; DIVERSITY; FEATURE COMBINATION; FEATURE SELECTION METHODS; FUSION METHODS; HUMAN HEALTH; K-NEAREST NEIGHBORS; LINEAR DISCRIMINANT FUNCTIONS; PHYSIOLOGICAL SENSORS; SENSOR FUSION; SITUATION ANALYSIS; STRESS LEVELS;

ALGORITHMS; OPTICAL CORRELATION; SENSORS; UBIQUITOUS COMPUTING;

FEATURE EXTRACTION;

EID: 84874589587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/I-SPAN.2012.12     Document Type: Conference Paper

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