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 language | English |
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Title of host publication | 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728114910 |
DOIs | |
State | Published - Apr 2019 |
Event | 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia Duration: 24 Apr 2019 → 26 Apr 2019 |
Publication series
Name | 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings |
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Conference
Conference | 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 |
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Country/Territory | Colombia |
City | Bucaramanga |
Period | 24/04/19 → 26/04/19 |
Bibliographical note
Funding Information:This work was supported by IDEIAGEOCA Research Group of Universidad Politécnica Salesiana in Quito, Ecuador.
Publisher Copyright:
© 2019 IEEE.
Keywords
- Artificial Vision
- OpenCV
- Pattern Recognition
- Sudden Infant Death Syndrome