Ogawa, Ami

写真a

Affiliation

Faculty of Science and Technology, Department of System Design Engineering (Yagami)

Position

Assistant Professor/Senior Assistant Professor

Related Websites

External Links
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Career 【 Display / hide 】

  • 2017.04
    -
    2019.03

    Japan Society for the Promotion of Science, 特別研究員 (DC2)

  • 2019.04
    -
    2022.03

    Keio University, 助教

  • 2022.04
    -
    Present

    Keio University, Assistant Professor

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Academic Background 【 Display / hide 】

  • 2010.04
    -
    2014.03

    Keio University, Faculty of Science and Technology, Department of System Design Engineering

  • 2014.04
    -
    2016.03

    Keio University, Graduate School of Science and Technology, 前期博士課程

  • 2016.04
    -
    2019.03

    Keio University, Graduate School of Science and Technology, 後期博士課程

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Research Areas 【 Display / hide 】

  • Humanities & Social Sciences / Family and consumer sciences, and culture and living

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Architectural environment and building equipment

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Architectural planning and city planning

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Papers 【 Display / hide 】

  • Effect of particle size distribution on the transmission efficiency of atomized water to the tracheal tube

    T Asakura, K Yoshioka, A Ogawa, Y Kurashina

    Sensors and Actuators A: Physical 370, 115270 (Sensors and Actuators A: Physical)  370 2024.05

    ISSN  09244247

    　View Summary

    Ultrasonic atomization is a widely used technology. As the atomization device, lead zirconate titanate (PZT) and lithium niobate (LN) are comparatively investigated through experimental and numerical schemes. However, knowledge on a profitable scheme by which to efficiently deliver the atomized particles into the tracheal tube remains unclear. In this study, the physical difference of the transmission efficiency of water particles atomized by PZT and LN devices was measured. The water particles atomized by PZT and LN were injected into a human airway model including a nasal cavity and bronchial tube. The distribution of the amount of transmitted particles deposited at each of the monitoring positions was then estimated using the results of image analysis of color intensity. As a result, the atomized particles of the PZT device, which produced larger particles than the LN device, were more strongly affected by inertia and tended to be deposited at the area closer to the entrance of the nasal cavity. In contrast, the particles produced by the LN device tended to be transmitted deeper into the trachea. The experimental results indicated that the particle size distribution of PZT and LN, which have quite different maximum sizes of particles, largely influences the spatial distribution characteristics of particle deposition along the airway from the nasal cavity to the trachea.

  • ANALYSIS AND REAL-TIME PREDICTION OF 90 DEGREES TURNING MOVEMENTS DURING WALKING ASSUMING LIVING SPACE

    Motoyama R., Kondo M., Ogawa A., Mita A.

    Journal of Environmental Engineering (Japan) (Journal of Environmental Engineering (Japan))  89 ( 818 ) 222 - 233 2024.04

    ISSN  13480685

    　View Summary

    When introducing robots and sensors into living spaces, predicting turning movements while walking is an important element to ensure safety. In this study, we assumed a living space, set experimental conditions that did not interfere with the subjects' free movement, and measured natural turning movements. First, the parameters used for prediction were selected from the measured data. Then, using those parameters, he built a system that predicted 90-degree turning movements in real time. Finally, we verified the system. This research will contribute to the development and practical application of an analysis and prediction system for turning movements during walking.

  • 生活空間を想定した歩行時 90 度方向転換動作の解析とリアルタイム予測

    本山遼介， 近藤正芳， 小川愛実， 三田彰

    日本建築学会環境系論文集 89 (818), 222-233  2024

  • Modeling and utilizing habits using process mining for building spatial design systems

    N Haraguchi, A Ogawa

    9th Asia-Pacific Workshop on Structural Health Monitoring, 9APWSHM 2022, 103-110 (Materials Research Proceedings)  27   103 - 110 2023

    ISSN  24743941

    　View Summary

    Residents need to change their habitual behaviors following living space changes, such as moving or remodeling, and that may occur mental stress. This stress is a major problem, especially for the elderly, who are less able to cope with changes in their environment. To reduce this stress, a system that reflects the living information of the original houses in new houses, where habits can be retained in the new environments is needed. Many studies have been conducted to quantify life information as a habitual model using data mining and pattern recognition methods. “Process Mining” is a theory developed to visualize and improve processes in the business field and applied to lifestyle information, and it is possible to create a habit model. In recent years, several studies on habit models using process mining have been reported. However, there are no studies in which these process mining-based habit models have been adopted to design architectural spaces such as living spaces. Therefore, the purpose of this study is to investigate the relationship between habit and architectural space by utilizing a process mining-based habit model. Specifically, we propose the automatic extraction and visualization of habit behaviors through process mining and the use of habit models. The data acquisition experiment was conducted in an experimental smart home. This smart home is a mobile trailer house built by a multi-company project and is equipped with many sensors that can automatically acquire many daily living data. Subjects were recruited randomly and lived alone in this smart home for one week. An input matrix was created from the acquired data set and process mining was adapted to create habit models. In this study, two habit models were created: (1) a habit model based on behavioral information and (2) a habit model based on location information. Each input matrix consisted of (1) 16 types of behavior record data manually entered by the subject and (2) ground reaction force data in the house divided into 7 areas. We investigated the relationship between habitual behaviors and spatial conditions by integrating these two models.

  • Evaluation of a practical automatic damage assessment system using a single accelerometer for wooden frame houses

    Y Furukawa, K Horita, A Mita, A Ogawa

    9th Asia-Pacific Workshop on Structural Health Monitoring, 9APWSHM 2022, 143-149 (Materials Research Proceedings)  27   143 - 149 2023

    ISSN  24743941

    　View Summary

    In recent years, Structural Health Monitoring (SHM) has been attracting more attention as a method to determine the existence of the damage and its extent. The typical SHM system employs many sensors to assess the damage quantitatively and qualitatively. However, such a system is not appropriate for wooden houses as it is very costly despite the strong demand. Therefore, developing a low-cost SHM system for wooden houses is necessary. We have been working on algorithms that automatically determine the degree of damage from the maximum inter-story drift angle and natural frequencies using two accelerometers and evaluate the accuracy of the results by applying them to full-scale shake table experimental data.[1] Then, we evolved the system to use only a single accelerometer. In this advanced method, we estimate the first natural frequency without being annoyed by the fundamental frequency of ground motion, which often deteriorates frequency estimation accuracy. In this paper, we demonstrate the applicability of the SHM system using only one sensor in practical scenarios. Firstly, we examined the proposed method using only one accelerometer through the simulation approach. Secondly, we test the system's applicability utilizing a series of large-scale shake table test data. Finally, we examine this method's validity and economic feasibility, contributing to cost reduction and simplification of the algorithm for practical use.

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 人・居住環境間の力学的インタラクションのモデル化による空間の歩行支援性能評価

    2022.04
    -
    2025.03

    Grants-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists, No Setting

    　View Summary

    個人の身体機能に適した居住環境整備は、加齢や疾患などにより身体に障害を持つ人の生活動作の自立を促し、介護負担の軽減に貢献する。本研究では、居住環境が持つ人への動作支援性能の定量評価手法を提案し、居住環境整備プロセスを体系化することで個人の身体機能に適切な居住環境整備の実現を目指す。歩行動作を対象とし、家具や建具のもつ「寄り掛かれる」「把握できる」などの記号的な属性情報を数値的に扱うための人・居住環境間の力学的インタラクションモデルの提案と、空間の歩行支援性能評価を目的とする。この研究を居住環境整備に活用することで、必要十分な歩行支援による生活の自立に寄与し、健康寿命延伸に貢献する。

  • Elucidation of Effects of Environmental and Physical Factors on Activities of Daily Living in the Living Space Using "Monitoring Infill"

    2020.04
    -
    2022.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Ogawa Ami, Grant-in-Aid for Early-Career Scientists , Principal investigator

    　View Summary

    We proposed and implemented a "Monitoring infill" consisting of a motion measurement system, environmental sensors, and wearable devices and measured the stair climbing of a 60s aged man in an actual living space over a period of 4.5 months. The environmental sensors measured illuminance at foot and eye level, temperature, humidity, CO2 level, and atmosphere, while the wearable devices measured pulse wave and activity level. Data analysis was performed, excluding the dual task data.
    Results showed that the standard deviation of the peak angle of the left and right knee joints during stair climbing and the standard deviation of walking speed were calculated. No correlations with both environmental and individual factors were found.

  • 運動器疾患の発症危険性評価のための精神状態を考慮した歩行ｔ軸推移モデルの構築

    2017.04
    -
    2019.03

    Keio University, Grants-in-Aid for Scientific Research, Grant-in-Aid for JSPS Fellows, No Setting

    　View Summary

    本研究は住宅内に導入可能な歩行情報取得システムを構築し、これを用いて居住者の運動器疾患の発症危険性検知が可能な歩行t軸（時間軸）推移モデルを構築することを目的とした。提案システムの居住空間への導入可能性の検証、および運動器疾患の早期診断に役立つ指標の開発を達成した。提案システムはRGB-Dセンサ搭載ロボットを用いて対象者の下肢関節座標および角度を推定する。ロボットが対象者から一定距離を保つことで、距離の制限のないデータ取得が可能である。階段歩行では、センサを階段下と階段上に設置し同システムを適用する。搭載センサで取得した対象者の後ろ姿の深度データ（距離データ）を用いて歩行情報を推定する。
    提案システムの精度を直線歩行と階段歩行において検証したところ、従来手法よりも高精度で推定が可能であった。居住空間内での試用実験では、方向転換時など片足が死角に入る場合を除いて歩行情報推定が概ね可能であった。被験者が歩行した全経路のうちデータ取得可能であった区間は平均54 %であったことから、日常的にシステムを運用させた場合に従来の歩行テストと比較して十分なサンプル数が得られると考察される。
    運動器疾患として特に高齢者に罹患者の多い変形性膝関節症（膝OA）を取り上げ、地域在住高齢者を対象とした計測会において提案システムによる階段歩行計測を実施した。取得データから膝関節の空間上の軌跡を用いた独自のパラメタを算出したところ、膝関節部のレントゲン画像を用いた理学療法士による膝OAの5段階診断結果と相関が認められ、膝OAリスク評価指標の新たな提案と位置付けられた。
    膝OAは膝関節の変形と疼痛が徐々に進行するため、自覚症状が出る頃には既に介入が手遅れと言われる。本研究では提案システムを用いた膝OAの早期発見の可能性を示唆した。提案システムの活用により運動器疾患の早期発見による健康寿命の延伸が期待される。
    平成30年度が最終年度であるため、記入しない。
    平成30年度が最終年度であるため、記入しない。

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Awards 【 Display / hide 】

  • 日本機械学女性未来賞

    2019.03, 一般社団法人日本機械学会

  • 2017年度日本建築学会大会（中国）学術講演会 環境工学部門 若手優秀発表賞

    2017.11, 日本建築学会

  • 2016年度日本建築学会大会（九州）学術講演会 情報システム技術部門 若手優秀発表賞

    2016.09, 日本建築学会

  • 義塾賞

    2014.03, 慶應義塾大学

  • 日本機械学会畠山賞

    2014.03, 一般社団法人日本機械学会

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Courses Taught 【 Display / hide 】

  • ENVIRONMENTAL TECHNOSCIENCE AND POLICY

    2024

  • ARCHITECTURAL SPACE PLANNING AND DESIGN 3

    2024

  • ARCHITECTURAL SPACE PLANNING AND DESIGN 2

    2024

  • ARCHITECTURAL SPACE PLANNING AND DESIGN 1

    2024

  • ANALYSIS OF STATICAL AND DYNAMICAL PHENOMENA

    2024

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Memberships in Academic Societies 【 Display / hide 】

  • 日本生体医工学会, 

    2019.04
    -
    Present

  • 計測自動制御学会, 

    2019.04
    -
    Present

  • 日本機械学会, 

    2018.10
    -
    Present

  • 日本建築学会, 

    2014.04
    -
    Present
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Committee Experiences 【 Display / hide 】

  • 2020.09
    -
    2021.03

    関東支部 第27期総会・講演会実行委員会, 日本機械学会

  • 2019.07
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    2019.09

    LIFE2019 実行委員会, 日本機械学会

  • 2019.04
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    Present

    サスティナブル情報デザイン小委員会, 日本建築学会

  • 2019.04
    -
    Present

    システム・情報部門 コンピューテーショナル・インテリジェンス部会, 計測自動制御学会

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