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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Multimodal Indoor Tracking of a Single Elder in an AAL Environment
verfasst von : Andrei-Adnan Ismail, Adina-Magda Florea
Erschienen in: Ambient Intelligence - Software and Applications
Verlag: Springer International Publishing
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In this paper we present a proof-of-concept practical architecture of a system for tracking older adults living alone in an ambient intelligence environment by using multi-modal sensory information, such as audio and video input from Kinect and Arduino devices. This AAL (Ambient Assisted Living) system collects data into a Database of Trajectories, used to automatically generate training examples. We then show how the Database of Trajectories can be used in conjunction with a set of well-trained algorithms to alert remote caregivers in case of an unfortunate event, such as the elder falling down - one of the leading causes of injury and death.
