Abstract
Sensor data synchronization is a critical issue in the Internet of Things environments. In general, when a measurement environment includes different independent devices, it is paramount to ensure a global data consistency to a reference timestamp. Additionally, sensor nodes clocks are typically affected by environmental effects and by energy constraints which generate clock drifts. In this work, we present a specific Internet of Things architecture composed by seven Inertial Measurement Unit nodes, three Raspberry Pi 3, three video cameras and a laptop. In specific, we present an off-line data-driven synchronization solution which handles data of different nature and sampled at different frequencies. The solution solves both the data synchronization issue and the data-time alignment due to clock drift problems. The proposed methodology has been implemented and deployed within a measurement context involving infants (from 8 to 15 months old), within the scope of the AutoPlay project, whose goal is the analysis of infants ludic motricity data in order to possibly anticipate the identification of neurodevelopmental disorders.
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Pepe Hiller http://www.pepehiller.com/.
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Acknowledgment
This work was supported by Gebert RĹf Stiftung (GRS-054/16). We thank SUPSInido and CullaBabyStar for their support and involvement during the measurement pilot study. We would also like to show our gratitude to all the families which contributed to the project, allowing their kids to participate to the pilot study. Additionally we thanks all SUPSI students and collaborators which have been involved during the GT logs generation, and during the pilot study for the sensor devices and the measuring environments management.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sguazza, S. et al. (2020). Sensor Data Synchronization in a IoT Environment for Infants Motricity Measurement. In: Garcia, N., Pires, I., Goleva, R. (eds) IoT Technologies for HealthCare. HealthyIoT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-030-42029-1_1
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