Automated Infant Monitoring based on R-CNN and HMM

Cheng Li, A. Pourtaherian, L. van Onzenoort, P. N. de With

Abstract

Manual monitoring of young infants suffering from reflux is a significant effort, since infants can hardly articulate their feelings. This work proposes a near real-time video-based infant monitoring system for the analysis of infant expressions. The discomfort moments can be correlated with a reflux measurement for gastroesophageal reflux disease diagnose. The system consists of two components: expression classification and expression state stabilization. The expression classification is realized by Faster R-CNN and the state stabilization is implemented with a Hidden Markov Model. The experimental results show a mean average precision of 82.3% and 83.4% for 7 different expression classifications, and up to 90% for discomfort detection, evaluated with both clinical and daily datasets. Moreover, when adopting temporal analysis, the false expression changes between frames can be reduced up to 65%, which significantly enhances the consistency of the system output.

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Paper Citation


in Harvard Style

Li C., Pourtaherian A., van Onzenoort L. and N. de With P. (2021). Automated Infant Monitoring based on R-CNN and HMM.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6, pages 553-560. DOI: 10.5220/0010299605530560


in Bibtex Style

@conference{visapp21,
author={Cheng Li and A. Pourtaherian and L. van Onzenoort and P. N. de With},
title={Automated Infant Monitoring based on R-CNN and HMM},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={553-560},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010299605530560},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Automated Infant Monitoring based on R-CNN and HMM
SN - 978-989-758-488-6
AU - Li C.
AU - Pourtaherian A.
AU - van Onzenoort L.
AU - N. de With P.
PY - 2021
SP - 553
EP - 560
DO - 10.5220/0010299605530560