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Keywords Multimodal signal processing, behavioral signal processing (BSP), depression, Teager energy operator, i-vector, facial landmark, fusion ... On the other hand, polynomial parameterization of facial landmark features achieves the best performance among all systems and outperforms the best baseline system as well. ... Our hypothesis is that these features capture information about facial expressions relevant to depression detection. 11 distance features and 26 area features are extracted from the x and y co-ordinates ...doi:10.1145/2988257.2988261 dblp:conf/mm/NasirJSCG16 fatcat:33geyegcgfcclgnmufbc5f32iq
Affective arousal modulates all nonverbal communicative cues (facial expressions, body movements, and vocal and physiological reactions). ... In a face-to-face interaction, humans detect and interpret those interactive signals of their communicator with little or no effort. ... Koppelaar, and anonymous reviewers for their helpful comments and suggestions. ...doi:10.1109/jproc.2003.817122 fatcat:a2mq7h2lwzepnjexicqr3spc2m
Chemical impairment measure (CMI) based on speech was used by the author to detect and measure the physiological/neurological depression. CMI ranges front zero to three on a special scale. ... The results indicate a trade-off between efficiency and multimode excitation, as expected. ... When speech rate (fast and slow) was manipulated, the VCVs were from sentences with stress on the VCV only. ...doi:10.1121/1.415616 fatcat:o3peikxywvgrtccqqlvwx55j3y
This research proposes a facial biometric analysis using a new facial feature detection based on a modified Frangi filter. ... The joint FR/FER uses new feature extraction technique called Gauss-Laguerre wavelets, which provides rich and unique features suitable for expressions classification and identity recognition. ... In this case, the facial points detection has been removed from the process, and the global facial features have been used. ...doi:10.11575/prism/28676 fatcat:fxz5iwo4mzgi7ksjvqeqiqesx4
The human-oriented and personalized technologies and services rely on a key set of features, some to be deployed, others getting more mature (personal profiles, preferences, identity, proximity, personal ... Following, advanced applications covering human related activities benefit from personalized and human-oriented networks and services, especially preventive and personalized medicine, body networks and ... ISBN: 978-1-61208-306-3 CENTRIC 2013 : The Sixth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services The Case for Integrating Needs and Preferences ...fatcat:d573ht3l5ngtrkcrhicxjda4se