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Artificial Intelligence Meets Indoor Low-Cost Sensing for Healthcare and Monitoring

Research Project

Project/Area Number 23K16950
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionKeio University

Principal Investigator

ブーアジジ モンデル  慶應義塾大学, 理工学部(矢上), 特任講師 (10867675)

Project Period (FY) 2023-04-01 – 2026-03-31
Project Status Granted (Fiscal Year 2023)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2023: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
KeywordsSensing for Healthcare / Artificial Intelligence / Non-contact sensors
Outline of Research at the Start

FY2023: Person identification and Activity detection using 2D Lidar and stereoscopic IR imaging.
FY2024: Multiple Person identification Activity detection using 3D Lidar
FY2025: Vital signal monitoring using fusion between 3D Lidars and MIMO Doppler Sensor

Outline of Annual Research Achievements

So far, we have conducted several experiments on heart rate estimation and Human activity recognition in indoor environment using wireless sensors.
Mainly, Doppler Sensors, MIMO FMCW sensors and 2D/3D Lidars were used in the experiments.
The data collected during the experiments were then processed through signal processing techniques and Machine learning. The developed algorithm allowed us to obtain accurate results in both heart rate estimation and activity recognition. The obtained results were promising, and thus, were published in a few journal papers, presented in international and domestic conferences and discussed in workshops.
We have published over 5 journal papers and 5 international conference papers. However, newer results were obtained and are yet to be published as well.

Current Status of Research Progress
Current Status of Research Progress

1: Research has progressed more than it was originally planned.

Reason

Thanks to the availability of data and the data acquisition that went smoothly, the research has been advancing quite smoothly. So far, several research results have been published in International conferences and Journals.
The data acquired will be investigated further, and newer data will be collected as well.
The computers purchased allowed to train deep neural network models in short time, which allowed to obtain good results quickly.

Strategy for Future Research Activity

We plan to continue collecting data for our next experiments. To do so, we will acquire an advance Eye tracker and conduct experiments to identify fatigue, health problems such as depression as well as dementia using this device.
Nonetheless, we are exploring the potentials of using a MIMO FMCW radar for activity recognition, Heart rate and Blood Pressure estimation.

Report

(1 results)
  • 2023 Research-status Report
  • Research Products

    (10 results)

All 2024 2023

All Journal Article (5 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 5 results,  Open Access: 4 results) Presentation (5 results) (of which Int'l Joint Research: 5 results)

  • [Journal Article] Activity Detection in Indoor Environments Using Multiple 2D Lidars2024

    • Author(s)
      Mondher Bouazizi, Alejandro Lorite Mora, Kevin Feghoul, Tomoaki Ohtsuki
    • Journal Title

      MDPI Sensors

      Volume: 24 Issue: 2 Pages: 626-626

    • DOI

      10.3390/s24020626

    • Related Report
      2023 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] People Identification in Private Car Using 3D LiDAR With Generative Image Inpainting and YOLOv52024

    • Author(s)
      Weirong Shao, Mondher Bouazizi, Xiang Meng, Tomoaki Ohtsuki
    • Journal Title

      IEEE Access

      Volume: 12 Pages: 38258-38274

    • DOI

      10.1109/access.2024.3371022

    • Related Report
      2023 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Dementia Detection from Speech: What If Language Models Are Not the Answer?2023

    • Author(s)
      Mondher Bouazizi, Chuheng Zheng, Siyuan Yang, Tomoaki Ohtsuki
    • Journal Title

      MDPI Information

      Volume: 15 Issue: 1 Pages: 2-2

    • DOI

      10.3390/info15010002

    • Related Report
      2023 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Novel Approach for Heartbeat Rate Estimation Using 3-D Lidar and Multibeam MIMO Doppler Radar2023

    • Author(s)
      Mondher Bouazizi, Kohei Yamamoto, Koji Endo, Tomoaki Ohtsuki
    • Journal Title

      IEEE Sensors Journal

      Volume: 23 Issue: 24 Pages: 31259-31277

    • DOI

      10.1109/jsen.2023.3330472

    • Related Report
      2023 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Detecting Dementia from Face-Related Features with Automated Computational Methods2023

    • Author(s)
      Chuheng Zheng, Mondher Bouazizi, Tomoaki Ohtsuki, Momoko Kitazawa, Toshiro Horigome, Taishiro Kishimoto
    • Journal Title

      MDPI Boiengineering

      Volume: 10 Issue: 7 Pages: 862-862

    • DOI

      10.3390/bioengineering10070862

    • Related Report
      2023 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] A GAN-Based Approach for ECG Reconstruction from Doppler Sensor Signals2023

    • Author(s)
      Mondher Bouazizi
    • Organizer
      IEEE Global Communications Conference
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research
  • [Presentation] Improving Heart Rate Range Classification Using Doppler Radar with GAN-based Data Augmentation2023

    • Author(s)
      Mondher Bouazizi
    • Organizer
      IEEE Global Communications Conference
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research
  • [Presentation] A Novel Approach for Activity, Fall and Gait Detection Using Multiple 2D Lidars2023

    • Author(s)
      Mondher Bouazizi
    • Organizer
      IEEE Global Communications Conference
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research
  • [Presentation] An LSTM-Based Approach for Fall Detection Using Accelerometer-Collected Data2023

    • Author(s)
      Mondher Bouazizi
    • Organizer
      IEEE 28th Asia Pacific Conference on Communications
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research
  • [Presentation] Facial Action Unit Detection using 3D Face Landmarks for Pain Detection2023

    • Author(s)
      Mondher Bouazizi
    • Organizer
      International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research

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Published: 2023-04-13   Modified: 2024-12-25  

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