Multimodal Analysis for Behavioural Recognition in Tele-assistance Applications

摘要

The paper proposes an approach for behavioural recognition in which the individual conditions are recognized using a multimodal analysis method. This approach is an extension of our previously defined multimodal analysis method for biometrics; in this case the target application is the accurate recognition of human behaviour in smart home environments, with main focus in the home tele-assistance integrated services for elderly people. The proposed multimodal analysis method uses a hierarchical approach for data classification together with a fusion rule to combine the matching scores for several behavioural patterns. The approach novelty is given by the hierarchical classification design which provides an optimal performance-cost trade-off for the behavioural recognition system. This optimization could be done at runtime in practical applications. 06137-142