Network analysis improves interpretation of affective physiological data

Journal of Complex Networks

Volumn 2, Issue 4, 2014, Pages 614-636

  Hulovatyy, Yuriy ^a   D'Mello, Sidney ^a,b   Calvo, Rafael A ^c   Milenković, Tijana ^a  

^a University of Notre Dame   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Affective computing; Affective physiological data; Affective physiological data interpretation; Arousal valence based ground truth partition; Complex networks; Galvanic skin responses; GSR; Latent semantic analysis; Network analysis; Network based image partitions; Network based partitions; Pattern clustering; Physiology

Indexed keywords

COMPLEX NETWORKS; ELECTRIC NETWORK ANALYSIS; ELECTROPHYSIOLOGY; NEUROPHYSIOLOGY; PHYSIOLOGICAL MODELS; PHYSIOLOGY; PSYCHOPHYSIOLOGY; SEMANTICS;

AFFECTIVE COMPUTING; GALVANIC SKIN RESPONSE; GROUND TRUTH; IMAGE PARTITION; LATENT SEMANTIC ANALYSIS; NETWORK-BASED; PATTERN CLUSTERING; PHYSIOLOGICAL DATA;

IMAGE ANALYSIS;

EID: 84920745580     PISSN: 20511310     EISSN: 20511329     Source Type: Journal    
DOI: 10.1093/comnet/cnu032     Document Type: Article

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