研究者業績
基本情報
- 所属
- 上智大学 理工学部 情報理工学科 准教授
- 学位
- 博士(工学)(慶應義塾大学)
- 研究者番号
- 40784418
- J-GLOBAL ID
- 201701001496149200
- researchmap会員ID
- 7000020364
研究キーワード
1経歴
2-
2019年4月 - 2026年3月
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2016年 - 2019年3月
学歴
3-
- 2016年
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- 2013年
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- 2011年
受賞
2-
2017年
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2016年
論文
59-
IEEE ROBOTICS AND AUTOMATION LETTERS 11(6) 6528-6535 2026年6月
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Advanced Biomedical Engineering 15 1-11 2026年
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CoRR abs/2511.06311 2025年11月
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Medical engineering & physics 140 104357-104357 2025年6月Measurement of pressure distribution applied to a fingertip is crucial for the teleoperation of robots and human computer interface. Previous studies have acquired pressure distribution by affixing a sensor array to the fingertip or by optically recording the deformation of an object. However, these existing methods inhibit the fingertip from directly contacting the texture, and the pressure applied to the fingertip is measured indirectly. In this study, we propose a method to measure pressure distribution by directly touching a transparent object, focusing on the change in skin color induced by the applied pressure, caused by blood flow. We evaluated the relationship between pressure and skin color change when local pressure is applied, and found a correlation between the pressure and the color change. However, the contact area and the color change area did not align perfectly. We further explored the factor causing the spatial non-uniformity of the color change, by accounting for the stress distribution using finite element analysis. These results suggest that the proposed measurement method can be utilized to measure the internal stress distribution, and it is anticipated to serve as a simple sensor in the field of human computer interface.
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JOURNAL OF BIOMECHANICAL SCIENCE AND ENGINEERING 20(1) 2025年
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IEEE Robotics and Automation Letters 1-8 2025年
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Sensors and Materials 36(6) 2209-2209 2024年6月4日
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CoRR abs/2411.05116 2024年
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IEEE Access 12 93145-93151 2024年
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IEEE Sensors Letters 7(8) 1-4 2023年8月
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2023 1-4 2023年7月In this study, we propose a method to reconstruct photoplethysmogram (PPG) waveforms from other stealthily recorded physiological signals. The proposed method focuses on the frequency characteristics between two physiological signals and reconstructs the target PPG waveform using a regression model. We investigate the feasibility of the proposed method to reconstruct target PPG signals from respiratory (RSP) and PPG signals recorded at non-genuine measurement sites using the two datasets of physiological signals. The results indicate that the proposed method achieves similarities between the target PPG and reconstructed PPG signals with correlation coefficients more than 0.860.
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ProtoHand: Solderless Prototyping of Electrical Circuits on a Soft Artificial Hand with Liquid MetalIEEE SENSORS LETTERS 7(3) 2023年3月
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PROCEEDINGS OF THE 4TH AUGMENTED HUMANS INTERNATIONAL CONFERENCE 2023, AHS2023 323-325 2023年
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IEEE Robotics and Automation Letters 1-8 2023年 査読有り
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Sensors (Basel, Switzerland) 22(14) 2022年7月15日Deducing the input signal for a tactile display to present the target surface (i.e., solving the inverse problem for tactile displays) is challenging. We proposed the encoding and presentation (EP) method in our prior work, where we encoded the target surface by scanning it using an array of piezoelectric devices (encoding) and then drove the piezoelectric devices using the obtained signals to display the surface (presentation). The EP method reproduced the target texture with an accuracy of over 80% for the five samples tested, which we refer to as replicability. Machine learning is a promising method for solving inverse problems. In this study, we designed a neural network to connect the subjective evaluation of tactile sensation and the input signals to a display; these signals are described as time-domain waveforms. First, participants were asked to touch the surface presented by the mechano-tactile display based on the encoded data from the EP method. Then, the participants recorded the similarity of the surface compared to five material samples, which were used as the input. The encoded data for the material samples were used as the output to create a dataset of 500 vectors. By training a multilayer perceptron with the dataset, we deduced new inputs for the display. The results indicate that using machine learning for fine tuning leads to significantly better accuracy in deducing the input compared to that achieved using the EP method alone. The proposed method is therefore considered a good solution for the inverse problem for tactile displays.
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IEEE ACCESS 10 41352-41361 2022年
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2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE) 1343-1346 2022年
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28TH ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY, VRST 2022 2022年
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IEEE ACCESS 10 16830-16842 2022年 査読有り
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 64-67 2021年11月To develop a photoplethysmogram (PPG)-based authentication system with countermeasures, we investigate a "presentation attack" against the authentication. The attack uses the PPG for performing measurements on various sites on each subject's body. It records PPG on a nongenuine measurement site stealthily, generates a spoofing signal based on the recorded PPG, and transmits the signal to the authentication device. To investigate the feasibility of the attack, we developed a PPG-based authentication system. We recorded the PPGs of the subjects' bodies using the developed system and investigated the feasibility of attack in the experiment. The results indicated that an attack can occur with a probability of more than 80 % under ideal conditions.
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IEEE Access 1-13 2021年11月 査読有り
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Sensors and Actuators A: Physical 332 113133-113133 2021年9月
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IEEE ROBOTICS AND AUTOMATION LETTERS 6(3) 5373-5380 2021年7月 査読有り
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Japanese Journal of Applied Physics 60(SC) SCCL12-SCCL12 2021年6月1日
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JAPANESE JOURNAL OF APPLIED PHYSICS 60(SC) 2021年6月
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MICROMACHINES 12(3) 2021年3月 査読有り
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2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021) 104-105 2021年
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Advanced Biomedical Engineering 10 101-112 2021年
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42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20 902-905 2020年 査読有り
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UIST '20 Adjunct: The 33rd Annual ACM Symposium on User Interface Software and Technology 53-55 2020年 査読有り
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IEEE ACCESS 8 205778-205787 2020年 査読有り
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MICROMACHINES 10(5) 2019年5月 査読有り
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2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) 802-807 2019年
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Transactions of Japanese Society for Medical and Biological Engineering 57(6) 215-223 2019年
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MICROMACHINES 9(5) 2018年5月
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IEEE SENSORS JOURNAL 18(4) 1739-1746 2018年2月 査読有り
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PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) 50-53 2018年
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PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018) 2018年
MISC
73書籍等出版物
2講演・口頭発表等
15-
Haptics Symposium 2018 2018年
共同研究・競争的資金等の研究課題
9-
日本学術振興会 科学研究費助成事業 2026年4月 - 2029年3月
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日本学術振興会 科学研究費助成事業 2023年4月 - 2026年3月
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日本学術振興会 科学研究費助成事業 2022年4月 - 2025年3月
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日本学術振興会 科学研究費助成事業 基盤研究(B) 2022年4月 - 2025年3月
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科学技術振興機構 戦略的な研究開発の推進 戦略的創造研究推進事業 さきがけ 2022年 - 2025年