抄録

A method for remote and non-contact measurement of autonomic nervous system indices and blood pressure information has been developed by extracting video pulse waves using an ordinary video camera. For robust and accurate measurement, it is necessary to separate the face and hand from the video image. In this study, we proposed a method to automatically set the optimal separation condition by combining face detection method and skin area detection method. It was ascertained that the proposed method was valid under sufficiently bright environment without other skin colored objects.

本文言語English
ホスト出版物のタイトル2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ194-195
ページ数2
ISBN(電子版)9781538663097
DOI
出版ステータスPublished - 2018 12月 12
イベント7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
継続期間: 2018 10月 92018 10月 12

出版物シリーズ

名前2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
国/地域Japan
CityNara
Period18/10/918/10/12

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学
  • 安全性、リスク、信頼性、品質管理
  • 器械工学

フィンガープリント

「An Optimization Technique to Extract Video Pulse Wave for Non-Contact Remote Monitoring of Autonomic Nervous System and Blood Pressure Variability」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

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