Abstract
Routine monitoring of infant development does not always allow for the detection of possible deviations from typical development. Creating a system that supports professionals in an early suspicion or diagnosis is necessary. A mat with a sensitized surface developed ad hoc has been used, on which pressure map data was recorded on 30 children from nursery schools in supine, prone, sitting and standing positions. A useful way to help in this aim is presented by processing the baby’s pressure data on the mat. The first data processing of the mats has been carried out using image processing techniques on the maps to identify the different zones. Further work is needed to compute other information that characterizes the map zones and use machine learning to identify the body position and to help professionals who accompany children in their development.
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Acknowledgments
This work has been supported by the Spanish Ministry of Science, Innovation, and Universities through the TRASGO project (RTI2018-101962-B-I00 (MCIU/AEI/FEDER, UE).
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Alarcos, B., Nunez-Nagy, S., Valero, M.A., Rodríguez, I., Serrano, C., Velasco, J.R. (2023). Monitoring of Babies´ Physical Development According to AmI Paradigm. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_33
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DOI: https://doi.org/10.1007/978-3-031-21333-5_33
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