| 研究課題/領域番号 |
23K16950
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分61030:知能情報学関連
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| 研究機関 | 慶應義塾大学 |
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研究代表者 |
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)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
3,770千円 (直接経費: 2,900千円、間接経費: 870千円)
2025年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
2024年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2023年度: 1,820千円 (直接経費: 1,400千円、間接経費: 420千円)
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| キーワード | Sensing for Healthcare / Artificial Intelligence / Non-contact sensors |
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| 研究開始時の研究の概要 |
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
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| 研究実績の概要 |
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.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
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.
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| 今後の研究の推進方策 |
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.
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