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2018 Fiscal Year Annual Research Report

Real World Heart Rate Estimation from Video

Research Project

Project/Area Number 17K12709
Research InstitutionSaitama University

Principal Investigator

Lam Antony  埼玉大学, 理工学研究科, 助教 (50744124)

Project Period (FY) 2017-04-01 – 2019-03-31
Keywordsvideo ppg / computer vision / heart rate / cardiac estimation / remote measurement
Outline of Annual Research Achievements

We have continued to build our own dataset and also refine our algorithm for improved robustness and accuracy. We developed some variants of the algorithm for different situations. For situations that require more processing speed, we developed a version of our algorithm that focuses on only key parts of the face with strong PPG signals (areas of the face with strong color changes due to cardiac activity). We also developed a version of the algorithm where time constraints did not matter for higher accuracy. We then explored applications of video PPG for emotion recognition and potential uses in HCI, HRI applications. In the case of emotion recognition, we modified the algorithm to output the full PPG signal and found that emotion recognition is possible.

  • Research Products

    (2 results)

All 2018

All Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results)

  • [Journal Article] 映像解析に基づく頑健・高速な心拍数計測手法2018

    • Author(s)
      大津 耕陽, Keya Das, 福田 悠人, Antony Lam, 小林 貴訓, 久野 義徳
    • Journal Title

      第24回画像センシングシンポジウム(SSII2018)

      Volume: DS2 Pages: 1

  • [Journal Article] Classification of Emotions from Video Based Cardiac Pulse Estimation2018

    • Author(s)
      Keya Das, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi, and Yoshinori Kuno
    • Journal Title

      International Conference on Intelligent Computing (ICIC2018)

      Volume: 10956 Pages: 296-305

    • DOI

      https://doi.org/10.1007/978-3-319-95957-3_33

    • Peer Reviewed / Int'l Joint Research

URL: 

Published: 2019-12-27  

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