Addressing the problems of data-centric physiology-affect relations modeling

• 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: Pattern recognition systems; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1464; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2463/type/native/viewcontent
• Institution: De La Salle University

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...