Suneth Ranasinghe

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Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring while increasing safety. This article concentrates on the applications of activity recognition systems and surveys their state(More)
Determining the appropriate data window size for online sensor data streams to recognize a specific activity is still a challenging task. In particular, when new sensor events are recorded. This paper proposes a windowing algorithm which presents promising results to recognize complex activities, e.g., in a smart home environment. The underlying basic idea(More)
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