Browsing School of Computer Science and Informatics by Subject "Feature extraction"
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Audio Content Analysis for Unobtrusive Event Detection in Smart Homes
(Article)Environmental sound signals are multi-source, heterogeneous, and varying in time. Many systems have been proposed to process such signals for event detection in ambient assisted living applications. Typically, these systems ... -
Class discovery from semi-structured EEG data for affective computing and personalisation
(Conference)Many approaches to recognising emotions from metrical data such as EEG signals rely on identifying a very small number of classes and to train a classifier. The interpretation of these classes varies from a single emotion ...