Abstract
The SUMMIT project funded by the Italian MISE under the PON2020 Action, aims to the development a IoT (Internet of Things) platform which should be flexible and adaptive to easily embed several smart objects such as sensors, multi-sensor architectures and mobile terminals. The main idea is to lunch an open and dynamic eco-system to support the development of IoT based services both for the private and public sectors. The concept of “pattern” will lead the overall development of the SUMMIT platform which represents each element to be integrated in the SUMMIT framework by assuring security, privacy and dependability properties. Above patterns will be also self-evolving on the basis of their behavioral analysis to be performed during the system operation. The three main cases of study addressed by the project will be smart energy, smart health and smart cities. Among patterns addressed by the project the development of a smart inertial platform is considered. Such platform will find application in several contexts with a strong priority in the Smart Living framework. As an example, the architecture developed can be adopted for the sake of Activity of Daily Living monitoring (including Falls), postural instability detection, aided navigation, physical activity assessment, just to cite mostly addressed needs. Actually, above application contexts represent serious needs to be addressed to enable Active Ageing and Well Being. The Smart Inertial Pattern (SIP) is based on an embedded architecture equipped with sensors (accelerometer, gyroscope, compass) and communication facilities. In this paper the use of the SIP device for the implementation of a ADL classifier exploiting an event correlated approach is presented.
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Acknowledgements
This work has been supported by the SUMMIT grant, funded under Horizon 2020—PON 2014/2020 programme, N. F/050270/03/X32—CUP B68I17000370008—COR: 130150.
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Andò, B. et al. (2019). A Smart Inertial Pattern for the SUMMIT IoT Multi-platform. In: Leone, A., Caroppo, A., Rescio, G., Diraco, G., Siciliano, P. (eds) Ambient Assisted Living. ForItAAL 2018. Lecture Notes in Electrical Engineering, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-030-05921-7_25
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