https://archives.christuniversity.in/files/original/0819d07f0bfce0edd98c045e188e3f93.pdf aa592fa773f3b7e64f2a6c834c53a7dc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Pain detection system in real time healthcare environment Subject The topic of the resource Computer Science Description An account of the resource The negative feeling of pain is often involuntarily expressed through facial expressions. Facial expression therefore is an important non-verbal cue to determine if a person is in pain. This property can be applied for diagnosis of pain especially among patients who are differently challenged and lack the ability of expressing their issue. In spite of the developments made so far, this field still lags behind in finding pain expressing faces in an uncontrolled environment through unprocessed real time images and videos. To bridge this gap, the study proposed a hybrid or fusion model that could adequately detect a face expressing pain. The model was executed with inputs taken from pre-recorded or stored videos and live streamed videos. It involved the combination of Patch Based Model (PBM), Constrained Local Model (CLM), and Active Appearance Model (AAM) in concurrence with image algebra. Creator An entity primarily responsible for making the resource Dutta, Pranti - 1445003 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Language A language of the resource English Type The nature or genre of the resource PhD