MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome

Xavier Lopez Gallo, Santiago Lechon, Stalin Mora, Diego Vallejo-Huanga

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the main causes of death in children, during the first year of life, is Sudden Infant Death Syndrome (SIDS) due to the poor position of the infant when sleeping. In this work a prototype is proposed, called MARRSIDS, based on elements of accessible hardware, free software and artificial vision that allows to monitor the infant, while she/he sleeps. The monitoring assintant executes a sound alarm if it identifies that the child is in an incorrect position. To verify the reliability of the device, experiments are included in children, with different characteristics, that have been monitored during a certain period of time in which the behavior of the device has proven to be effective.

Original languageEnglish
Title of host publication2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114910
ISBN (Print)9781728114910
DOIs
StatePublished - 1 Apr 2019
Event22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia
Duration: 24 Apr 201926 Apr 2019

Publication series

Name2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings

Conference

Conference22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
CountryColombia
CityBucaramanga
Period24/04/1926/04/19

Keywords

  • Artificial Vision
  • OpenCV
  • Pattern Recognition
  • Sudden Infant Death Syndrome

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    Gallo, X. L., Lechon, S., Mora, S., & Vallejo-Huanga, D. (2019). MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. In 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings [8730261] (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STSIVA.2019.8730261