Date of Award

6-10-2017

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2017.

Department

Electrical Engineering

First Advisor

Tokunbo Ogunfunmi

Second Advisor

Shivakaumar Mathapathi

Abstract

Sudden Infant Death Syndrome, also known as SIDS, is the leading cause of mortality in infants from one month to one year of age. We propose a video-based baby monitoring system with Internet of Things (IoT) capabilities to help shorten the response time of SIDS cases. Using a video amplification technique developed at MIT dubbed “Eulerian Magnification” to amplify subtle movements we can compare pixel color differences in frames for breathing detection in a recorded video of a baby. In the event that abnormal movement is detected from the baby an alarm will be generated to notify the parents or guardians.

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