Machine learning techniques applied in activity and action prediction for an emphatic space using context

• Main Authors: Bautista, Nikka Jennifer G., Cua, Manuel M., Jr., Gonzales, Jed Aureus J., Urquiola, Marc Angelo B., Trogo-Oblena, Rhia S., Suarez, Merlin Teodosia C.
• Format: text
• Published: Animo Repository 2009
• Subjects: Human activity recognition; Pattern recognition systems; Ambient intelligence; Human-computer interaction; Context-aware computing; Computer Sciences; Physical Sciences and Mathematics; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12844
• Institution: De La Salle University

Activity prediction is an integral part in the field of empathic computing though, in recent years, it has been subject to intense scrutiny due to the immense complexity of the task. An activity is composed of a set of actions however, due to the nonlinear nature of actions, it is difficult to ident...