Automatic Classification of Neonatal Sleep-Wake States Based on Facial Video Analysis

Yohei Mukai, Kento Morita, Nobu C. Shirai, Tetsushi Wakabayashi, Harumi Shinkoda, Asami Matsumoto, Yukari Noguchi, Masako Shiramizu

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Premature babies are admitted to the NICU (Neonatal Intensive Care Unit) for several weeks and generally placed under high medical supervision. To provide a better environment to them, some researchers investigate the affection of light and noise in the NICU on the formation of the sleep-wake cycle of the newborn called Circadian rhythm. These researches require the optimal evaluation method of the sleep-wake state. The visual assessment by nurses do not guarantee enough inter-tester reliability, and the measurement puts an additional burden on them. The conventional sleep-wake states discrimination method requires attachment devices on the subject's body. This paper proposes the automatic classification method of the sleep-wake states of neonates by using only facial information. In this research, we extract gradient features and spatio-temporal HOGV features from 3,600 face image frames (1 minute). According to Blazelton's method, this study classifies the sleep-wake states into six classes by using machine learning techniques. Support Vector Machine and Random Forest were used in the experiment. The spatio-temporal HOGV feature is an extension of the HOG feature to the time domain. The experiments using two kinds of feature quantities and classifiers showed that the highest accuracy rate (54.4%) was obtained by the gradient feature and Random Forest. This result suggested the possibility of improving accuracy by combining facial information with body movement and other conventional features.

本文言語英語
ホスト出版物のタイトルProceedings of 4th International Conference on Information Technology Research
ホスト出版物のサブタイトルBridging Digital Divide Through Multidisciplinary Research, ICITR 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728161990
DOI
出版ステータス出版済み - 12 10 2019
イベント4th International Conference on Information Technology Research, ICITR 2019 - Moratuwa, スリランカ
継続期間: 12 10 201912 13 2019

出版物シリーズ

名前Proceedings of 4th International Conference on Information Technology Research: Bridging Digital Divide Through Multidisciplinary Research, ICITR 2019

会議

会議4th International Conference on Information Technology Research, ICITR 2019
国/地域スリランカ
CityMoratuwa
Period12/10/1912/13/19

All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システムおよび情報管理
  • 社会科学(その他)

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