Nakazawa, Jin

写真a

Affiliation

Faculty of Environment and Information Studies (Shonan Fujisawa)

Position

Professor
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Career 【 Display / hide 】

  • 2000.04
    -
    2003.06

    Japan Society for the Promotion of Science , Research Fellowships for Young Scientists

  • 2003.07
    -
    2004.09

    Keio University, Graduate School of Media and Governance, Research Lecturer

  • 2004.10
    -
    2005.09

    Georgia Institute of Technology, Visiting Scholar

  • 2005.10
    -
    2008.03

    Keio University, Graduate School of Media and Governance, Research Lecturer

  • 2008.04
    -
    2013.03

    Keio University, Faculty of Environment and Information Studies, Lecturer

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Academic Background 【 Display / hide 】

  • 1998.04
    -
    2000.03

    Keio University, 政策・メディア研究科

    Graduate School, Completed, Master's course

  • 2000.04
    -
    2003.03

    Keio University, 政策・メディア研究科

    Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

  • 博士(政策・メディア), Keio University, 2003.03

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Papers 【 Display / hide 】

  • Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom)

    Kawasaki M., Mito A., Waguri M., Sato Y., Abe E., Shimada M., Fukuda S., Sasaki Y., Fujikawa K., Sugiyama T., Ota E., Nakazawa J., Okoshi T., Takimoto H., Honda Y., Inoue E., Hiramatsu Y., Arata N.

    BMC Pregnancy and Childbirth (BMC Pregnancy and Childbirth)  21 ( 1 )  2021.12

    　View Summary

    Background: Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to evaluate whether the rate of change in body weight in obese women before pregnancy to 12 months postpartum would be lower with the use of an intervention consisting of Internet of Things (IoT) devices and mobile applications during pregnancy to 1 year postpartum compared to a non-intervention group. Methods: Women will be recruited during outpatient maternity checkups at four perinatal care institutions in Japan. We will recruit women at less than 30 weeks of gestation with a pre-pregnancy body mass index ≥ 25 kg/m2. The women will be randomly assigned to an intervention or non-intervention group. The intervention will involve using data (weight, body composition, activity, sleep) measured with IoT devices (weight and body composition monitor, activity, and sleep tracker), meal records, and photographs acquired using a mobile application to automatically generate advice, alongside the use of a mobile application to provide articles and videos related to obesity and pregnancy. The primary outcome will be the ratio of change in body weight (%) from pre-pregnancy to 12 months postpartum compared to before pregnancy. Discussion: This study will examine whether behavioral changes occurring during pregnancy, a period that provides a good opportunity to reexamine one's habits, lead to lifestyle improvements during the busy postpartum period. We aim to determine whether a lifestyle intervention that is initiated during pregnancy can suppress weight gain during pregnancy and encourage weight loss after delivery. Trial registration: UMIN: UMIN (University hospital Medical Information Network) 000,041,460. Resisted on 18th August 2020. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278.

  • Investigating the occurrence of selfie-based emotional contagion over social network

    W Sasaki, Y Nishiyama, T Okoshi, J Nakazawa

    Social Network Analysis and Mining 11 (1), 1-14 (Social Network Analysis and Mining)  11 ( 1 ) 8 - 8 2021.12

    Research paper (scientific journal), Joint Work,  ISSN  18695450

    　View Summary

    Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs.

  • DEMO: Extracting Multiple Promotional Media Elements from Urban Spaces

    Motoki Y., Nakayama M., Kondo S., Ishikawa E., Jinno S., Nakazawa J.

    Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021 (Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021)     407 - 409 2021.08

    ISSN  9781665412520

    　View Summary

    In this study, we construct an object detection model that targets billboard advertisements in images and detects them regardless of their content and models to extract multiple elements from billboards. In addition, we try multiple methods for each task to clarify an appropriate method. As a demonstration, we prepare a web application that extracts elements from images of billboards by using the model constructed in this study.

  • WellComp 2021: Fourth International Workshop on Computing for Well-Being

    T Okoshi, J Nakazawa, JG Ko, F Kawsar, S Pirttikangas

    Adjunct Proceedings of the 2021 ACM International Joint Conference on … (UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers)     108 - 111 2021

    ISSN  9781450384612

    　View Summary

    With the advancements in ubiquitous computing, ubicomp technology has deeply spread into our daily lives, including office work, home and house-keeping, health management, transportation, or even urban living environments. Furthermore, beyond the initial metrics commonly applied in computing, such as "efficiency"and "productivity", the benefits that people (users) benefit on a well-being perspective based on such ubiquitous technology has been greatly emphasized in the recent years. Through the second "WellComp"(Computing for Well-being) workshop, we will intensively discuss about the contribution of ubiquitous computing towards users' well-being that covers both physical, mental, and social wellness (and their combinations), from the viewpoints of various different layers of computing. Having strong international organization members in various ubicomp research domains, WellComp 2021 will bring together researchers and practitioners from the academia and industry to explore versatile topics related to well-being and ubiquitous computing.

  • Physical Activity Analysis of College Students During the COVID-19 Pandemic Using Smartphones

    Y Nishiyama, Y Kakino, E Naka, Y Noda, S Hashiba, Y Yamada, W Sasaki, ...

    arXiv preprint arXiv:2103.06515 abs/2103.06515 2021

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

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Reviews, Commentaries, etc. 【 Display / hide 】

  • Foreword: Special section on IoT sensor networks and mobile intelligence

    Yamamoto K., Ohta T., Ohta C., Sato K., Sekiya H., Tagashira S., Naito K., Nakazawa J., Matsui K., Ishihara S.

    IEICE Transactions on Communications (IEICE Transactions on Communications)  E103B ( 12 )  2020.12

    ISSN  09168516

  • Message from the ACM SenSys 2020 General Co-Chairs

    Nakazawa J., Huang P.

    SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems)     i - ii 2020.11

    ISSN  9781450375900

  • Element Recognition of Step Sequences in Figure Skating Using Deep Learning Model

    岩田あきほ, 川島寛乃, 大越匡, 中澤仁

    情報処理学会研究報告(Web) 2020 ( CDS-28 )  2020

    Other, Joint Work

  • Making Cities Smarter with Fine-grained Environmental Information

    大越匡, 中澤仁

    水環境学会誌 43(A) ( 11 )  2020

    Other, Joint Work,  ISSN  0916-8958

  • フットサル動画分析のためのデータ収集システム

    大村昇平, 谷村朋樹, 大越匡, 中澤仁

    情報処理学会研究報告(Web) 2020 ( CDS-28 )  2020

    Other, Joint Work

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

  • 限定合理性を超越する共生インタラクション基盤

    2019.10
    -
    2025.03

    国立研究開発法人科学技術振興機構, CREST, Commissioned ｒesearch, Principal investigator

  • AI-QoS: 深層学習モデルのQoS適応的駆動基盤技術

    2023.04
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    2027.03

    基盤研究(A), Principal investigator

  • 「超」ハイブリッド路線バスセンシングによる公共交通機関のスマート化基盤に関する研究開発

    2021.05
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    2023.03

    国立研究開発法人 情報通信研究機構, Commissioned ｒesearch, Principal investigator

  • ドライブレコーダー画像を用いた路面分析技術に関する研究

    2021.04
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    2022.03

    江戸川区環境部清掃課, Joint research, Principal investigator

  • 新技術の社会インフラ適用迅速化に向けた高トラスト・高セキュリティアプリ＆データ連携フレームワーク

    2021.02
    -
    2021.03

    株式会社日立製作所　研究開発グループ　テクノロジーイノベーション統括本部, Joint research, Principal investigator

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Courses Taught 【 Display / hide 】

  • SEMINAR A

    2024

  • MASTER SEMINAR

    2024

  • INTRODUCTION TO DATA ACQUISITION

    2024

  • INDEPENDENT RESEARCH

    2024

  • GRADUATION PROJECT 2

    2024

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Memberships in Academic Societies 【 Display / hide 】

  • Japan Society for Software Science and Technology, 

    2019.04
    -
    Present

  • Association for Computing Machinery, 

    2017.04
    -
    Present

  • The Institute of Electronics, Information and Communication Engineers, 

    2013.10
    -
    Present

  • Institute of Electrical and Electronics Engineers, 

    2010
    -
    Present

  • Information Processing Society of Japan, 

    2006.04
    -
    Present
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Committee Experiences 【 Display / hide 】

  • 2021.04
    -
    2023.03

    情報処理学会ユビキタスコンピューティングシステム研究会主査

  • 2019.05
    -
    2023.04

    電子情報通信学会センサネットワークとモバイルインテリジェンス研究専門委員会委員

  • 2019.04
    -
    2023.03

    日本ソフトウエア科学会編集委員

  • 2017
    -
    Present

    Associate Editor, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, ACM

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