Rollover Detection of Infants Using Posture Estimation Model

Ayaka Okuno; Takaaki Ishikawa; Hiroshi Watanabe

doi:10.1109/GCCE50665.2020.9292052

Rollover Detection of Infants Using Posture Estimation Model

Ayaka Okuno, Takaaki Ishikawa, Hiroshi Watanabe

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In predicting the posture of an infant during sleep, images taken by a surveillance camera are useful. The posture estimation of infants is designed to be used in a home environment and uses monocular camera images rather than special cameras such as distance cameras. In this paper, we compare the accuracy of infant posture estimation by two posture estimation models, OpenPose and Cascaded Pyramid Network(CPN). We also introduce a system for estimating infant's sleep turn using the posture estimation results. The experimental results show that CPN can detect infants' posture estimation with higher accuracy than OpenPose. In addition, the system is successfully used to detect the infant's turning with high accuracy.

Original language	English
Title of host publication	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	490-493
Number of pages	4
ISBN (Electronic)	9781728198026
DOIs	https://doi.org/10.1109/GCCE50665.2020.9292052
Publication status	Published - 2020 Oct 13
Event	9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan Duration: 2020 Oct 13 → 2020 Oct 16

Publication series

Name	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference	9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Country/Territory	Japan
City	Kobe
Period	20/10/13 → 20/10/16

Keywords

CPN
OpenPose
Sleep Behavior in Infants
deep learning

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Media Technology
Instrumentation
Computer Networks and Communications
Computer Vision and Pattern Recognition

Access to Document

10.1109/GCCE50665.2020.9292052

Cite this

Okuno, A., Ishikawa, T., & Watanabe, H. (2020). Rollover Detection of Infants Using Posture Estimation Model. In 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 (pp. 490-493). [9292052] (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE50665.2020.9292052

Rollover Detection of Infants Using Posture Estimation Model. / Okuno, Ayaka; Ishikawa, Takaaki; Watanabe, Hiroshi.

2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 490-493 9292052 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Okuno, A, Ishikawa, T & Watanabe, H 2020, Rollover Detection of Infants Using Posture Estimation Model. in 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020., 9292052, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 490-493, 9th IEEE Global Conference on Consumer Electronics, GCCE 2020, Kobe, Japan, 20/10/13. https://doi.org/10.1109/GCCE50665.2020.9292052

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title = "Rollover Detection of Infants Using Posture Estimation Model",

abstract = "In predicting the posture of an infant during sleep, images taken by a surveillance camera are useful. The posture estimation of infants is designed to be used in a home environment and uses monocular camera images rather than special cameras such as distance cameras. In this paper, we compare the accuracy of infant posture estimation by two posture estimation models, OpenPose and Cascaded Pyramid Network(CPN). We also introduce a system for estimating infant's sleep turn using the posture estimation results. The experimental results show that CPN can detect infants' posture estimation with higher accuracy than OpenPose. In addition, the system is successfully used to detect the infant's turning with high accuracy. ",

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AU - Ishikawa, Takaaki

AU - Watanabe, Hiroshi

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N2 - In predicting the posture of an infant during sleep, images taken by a surveillance camera are useful. The posture estimation of infants is designed to be used in a home environment and uses monocular camera images rather than special cameras such as distance cameras. In this paper, we compare the accuracy of infant posture estimation by two posture estimation models, OpenPose and Cascaded Pyramid Network(CPN). We also introduce a system for estimating infant's sleep turn using the posture estimation results. The experimental results show that CPN can detect infants' posture estimation with higher accuracy than OpenPose. In addition, the system is successfully used to detect the infant's turning with high accuracy.

AB - In predicting the posture of an infant during sleep, images taken by a surveillance camera are useful. The posture estimation of infants is designed to be used in a home environment and uses monocular camera images rather than special cameras such as distance cameras. In this paper, we compare the accuracy of infant posture estimation by two posture estimation models, OpenPose and Cascaded Pyramid Network(CPN). We also introduce a system for estimating infant's sleep turn using the posture estimation results. The experimental results show that CPN can detect infants' posture estimation with higher accuracy than OpenPose. In addition, the system is successfully used to detect the infant's turning with high accuracy.

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Rollover Detection of Infants Using Posture Estimation Model

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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