Abstract
Affective computing has evolved substantially thanks to recent great advances for numerous applications including emotion sensing, human interactions, emotion-enabled communications, eHealth, metaverse. Also, it is highly anticipated that such an evolved affective computing and its technology can be applied to secure surveillance based on virtual emotion detection in advanced smart cities. In this paper, we design an energy-aware affective surveillance management system for virtual emotion based smart complex architecture. With an affective surveillance perspective in smart complex environment with multi levels of ground and underground, the proposed system basically provides low resource affective surveillance which is formed by various system components such as IoT devices, mobile robots and smart UAVs. Then, we present a formal representation of the problem that is to minimize the number of non-working affective components. Three different approaches are developed to resolve the problem as well as their performances are evaluated through extensive experiments. Besides, the open research issues are presented for new research branch of affective surveillance.
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