AAAI Publications, 2017 AAAI Fall Symposium Series

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Platform for Assessment and Monitoring of Infant Comfort
Aomar Osmani, Massinissa Hamidi, Abdelghani Chibani

Last modified: 2017-10-09

Abstract


Latest advances in Internet of Things (IoT) technologies, signal processing and machine learning can help in developing valuable solutions for supporting parents as well as caregivers in better taking care of the babies in particular. The pediatric studies that have been conducted since the sixties demonstrated that there is a universal language that hides behind the infant crying. This paper describes an IoT platform for ambient assisted living, which is dedicated to the automatic assessment of new born discomfort situations and providing assistive services to enhance infant as well as parent wellbeing. The present paper focuses on the description of a promising approach relying on the machine learning analysis of pre-cry signals to filter best signals. Obtained results show that learning rate of baby discomfort state is close to or better than results using cries only. This important result gives the opportunity to develop new baby monitors able to anticipate the infants needs and opens up perspectives to experiment and model mother/caregiver-infant like interactions in a humanrobot interaction (HRI) context to enrich emotional support provided by robots to infants.

Keywords


Sensor devices and platforms;Human-centered computing;Computing methodologies

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