Addressing the problems of data-centric physiology-affect relations modeling
Data-centric affect modeling may render itself restrictive in practical applications for three reasons, namely, it falls short of feature optimization, infers discrete affect classes, and deals with relatively small to average sized datasets. Though it seems practical to use the feature combinations...
Saved in:
Main Authors: | Legaspi, Roberto S., Fukui, Ken Ichi, Moriyama, Koichi, Kurihara, Satoshi, Numao, Masayuki, Suarez, Merlin Teodosia C. |
---|---|
Format: | text |
Published: |
Animo Repository
2010
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1464 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2463/type/native/viewcontent |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Exploring melodic motif to support an affect-based music compositional intelligence
by: Legaspi, Roberto S., et al.
Published: (2011) -
Predicting levels of rapport in dyadic interactions through automatic detection of posture and posture congruence
by: Hagad, Juan Lorenzo, et al.
Published: (2011) -
Towards building incremental affect models in self-directed learning scenarios
by: Inventado, Paul Salvador B., et al.
Published: (2013) -
Identification of effective learning behaviors
by: Inventado, Paul Salvador B., et al.
Published: (2013) -
An architecture for identifying and using effective learning behavior to help students manage learning
by: Inventado, Paul Salvador B., et al.
Published: (2013)