• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2022 Fiscal Year Final Research Report

Development of a stress assessment system in daily situations using non-contact IoT sensor module

Research Project

  • PDF
Project/Area Number 17K01597
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Rehabilitation science/Welfare engineering
Research InstitutionAino University

Principal Investigator

Ikarashi Akira  藍野大学, 医療保健学部, 教授 (10570632)

Co-Investigator(Kenkyū-buntansha) 林 拓世  藍野大学, 医療保健学部, 講師 (40582862)
Project Period (FY) 2017-04-01 – 2023-03-31
Keywords非接触計測 / 脈波 / 呼吸波形 / 自律神経調節機能 / ストレッチチェック / IoTセンサ
Outline of Final Research Achievements

High stress has become a serious problem in our society, adversely affecting cardiovascular and mental health. To address this, we have developed a stress assessment system that combines subjective and physiological stress assessment. Our research has demonstrated the effectiveness of a non-contact blood flow measurement method and developed a stress-free respiration measurement technique using a 6-axis sensor module. We also highlighted the importance of considering external factors such as ambient temperature when applying deep learning to long-term time series prediction. These advances make significant contributions to the field of stress assessment and provide useful insights for stress management in everyday life.

Free Research Field

生体医工学

Academic Significance and Societal Importance of the Research Achievements

本研究により被検者に与える負荷を最小限に抑えたRGBカラー画像を用いた非接触計測法で体表面の血流情報を継続的に収集することが可能であることが示された。また,体表面に装着したが小型6軸センサモジュールの出力から簡便に呼吸波形の計測が可能であることを確認した。さらにこれらの研究成果を用いることで心電計や脳波計などの医療機器が整った医療機関ではなく,日常生活下において自律神経機能の評価を行うことが可能になると期待できる。

URL: 

Published: 2024-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi