Abstract
In this paper, the infrastructure supporting the HELICOPTER AAL-JP project is described. The project aims at introducing behavioral analysis features for early detection of age-related diseases: to this purpose, a heterogeneous sensor network has been designed and implemented, encompassing in the same vision environmental, wearable and clinical sensors. In order to make environmental sensors suitable for behavioral inference, the issue of activity tagging (i.e., attribution to a given user of the action detected by the sensors) needs to be tackled. Within the HELICOPTER scenario, cooperation between environmental and wearable sensors is exploited to this aim. Preliminary results offer encouraging perspectives: piloting phase, which will validate the approach on a larger scale, is close to start.
On behalf of the HELICOPTER project partnership.
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Acknowledgement
This work has been supported by the Ambient Assisted Living Joint Program (HELICOPTER project, AAL-2012-5-150).
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Guerra, C. et al. (2015). The HELICOPTER Project: A Heterogeneous Sensor Network Suitable for Behavioral Monitoring. In: Cleland, I., Guerrero, L., Bravo, J. (eds) Ambient Assisted Living. ICT-based Solutions in Real Life Situations. IWAAL 2015. Lecture Notes in Computer Science(), vol 9455. Springer, Cham. https://doi.org/10.1007/978-3-319-26410-3_15
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DOI: https://doi.org/10.1007/978-3-319-26410-3_15
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