INOUE Sozo

写真a

Title

Associate Professor

Laboratory

2-4 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka

Research Fields, Keywords

Database, Web/pervasive Computing, Human Activity Recognition, Sensor-based Preventive Healthcare Application

Undergraduate Education 【 display / non-display

  • 1997.03   Kyushu University   Faculty of Engineering   Department of Computer Science   Graduated   JAPAN

Post Graduate Education 【 display / non-display

  • 2002.03  Kyushu University    Computer Science and Communication Engineering  Doctoral Program  Completed  JAPAN

  • 1999.03  Kyushu University    Department of Computer Science and Electrical Engineering  Master's Course  Completed  JAPAN

Degree 【 display / non-display

  • Kyushu University -  Doctor of Engineering  2002.03

Biography in Kyutech 【 display / non-display

  • 2018.04
    -
    Now

    Kyushu Institute of TechnologyGraduate School of Life Science and Systems Engineering   Department of Human Intelligence Systems   Associate Professor  

Biography before Kyutech 【 display / non-display

  • 2006.10
    -
    2009.04

      Associate Professor (as old post name)   JAPAN

  • 2002.04
    -
    2006.09

      Research Assistant   JAPAN

  • 2002.04
    -
    2006.09

      Research Assistant   JAPAN

Academic Society Memberships 【 display / non-display

  • 2009.04
    -
    Now
     

    The institue of electronics, information and communication engineers (IEICE)  JAPAN

  • 2009.04
    -
    2010.03
     

    Information Processing Society of Japan (IPSJ)  JAPAN

  • 1999.01
    -
    Now
     

    Association for Computing Machinery  UNITED STATES

  • 1999.01
    -
    Now
     

    The Institute of Electrical and Electronics Engineers  UNITED STATES

  • 1999.01
    -
    Now
     

    The Database Society of Japan  JAPAN

Specialized Field (scientific research fund) 【 display / non-display

  • Computer system

  • Multimedia database

 

Publications (Article) 【 display / non-display

  • Human Activity Recognition using Earable Device

    Tahera Hossain, Md. Shafiqul Islam, Md Atiqur Rahman Ahad, Sozo Inoue

    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019)      5   2019.09  [Refereed]

    London  London 

  • Nurse Care Activity Recognition Challenge: Summary and Results

    Paula Lago, Sayeda Shamma Alia, Shingo Takeda, Tittaya Mairittha, Nattaya Mairittha, Farina Faiz, Yusuke Nishimura, Kohei Adachi, Tsuyoshi Okita, Franois Charpillet , Sozo Inoue

    Ubicomp Workshop on Human Activity Sensing Corpus and Applications (HASCA)      6 pages   2019.09  [Refereed]

    London  London 

     View Summary

    Although activity recognition has been studied for a long time now, research and applications have focused on physical activity recognition. Even if many application domains require the recognition of more complex activities, research on such activities has attracted less attention.
    One reason for this gap is the lack of datasets to evaluate and compare different methods.
    To promote research in such scenarios, we organized the \textit{Open Lab Nursing Activity Recognition Challenge} focusing on the recognition of complex activities related to the nursing domain. Nursing domain is one of the domains that can benefit enormously from activity recognition but has not been researched due to lack of datasets.
    The competition used the CARECOM Nurse Care Activity Dataset, featuring 7 activities performed by 8 subjects in a controlled environment with accelerometer sensors, motion capture and indoor location sensor.
    In this paper, we summarize the results of the competition.

  • Reduction of Marker-Body Matching Work in Activity Recognition Using Motion Capture

    Shingo Takeda, Paula Lago, Tsuyoshi Okita, Sozo Inoue

    International Workshop on Human Activity Sensing Corpus and Applications      7 pages   2019.09  [Refereed]

    London  London 

  • A Dialogue-Based Annotation for Activity Recognition

    Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue

    International Workshop on Human Activity Sensing Corpus and Applications      6 pages   2019.09  [Refereed]

    London  London 

  • Optimizing Activity Data Collection with Gamification Points Using Uncertainty Based Active Learning

    Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

    International Workshop on Human Activity Sensing Corpus and Applications      7 pages   2019.09  [Refereed]

    London  London 

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Publications (Books) 【 display / non-display

Conference Prsentations (Oral, Poster) 【 display / non-display

  • モーションキャプチャを用いた行動認識におけるマーカー身体対応付け作業の削減

    武田紳吾, Paula Lago, 大北 剛, 井上 創造, 出野 義則

    マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム  (Fukushima)  2019.07  -  2019.07 

  • センサ行動認識における機械学習のための実験室高精度データと現場長時間データの比較

    後藤広樹, 武田紳吾, Paula Lago, 大北 剛, 井上 創造

    マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム  (Fukushima)  2019.07  -  2019.07 

  • 労働衛生に関するアンケートとモバイルセンサデータの統合的・継続的な収集

    井上 創造, 谷 優里, 松田 裕貴, 荒川 豊

    マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム  (Fukushima)  2019.07  -  2019.07 

  • センサ行動認識におけるZero-shot学習法のためのベクトル表現の性質の分析

    松木 萌, 井上 創造

    マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム  (Fukushima)  2019.07  -  2019.07 

  • Analysis of Density between Classes for Mitigating Class Imbalance Problem for Activity Recognition

    Sayeda Shamma Alia, 井上 創造

    情報処理学会全国大会  (Fukuoka)  2019.03  -  2019.03 

     View Summary

    Class Imbalance problem is unavoidable problem for activity recognition using mobile sensors in real life scenario when we have very less amount of data for some activity classes. It can affect the accuracy of the algorithms for classification. In this paper we measure the impact of class density in the accuracy of classification in imbalance cases. It is important for understanding the problem better that can help in finding better solution for classification in this scenario. Our initial experiment shows that- class imbalance affects the performance of classifier negatively and the higher the value of density (lower deviation), the better the performance of the classifier becomes.

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Lectures 【 display / non-display

  • (招待講演)スマートフォンを用いた行動認識・予測で期待される介護の生産性と質の向上~IoTセンサ・ビッグデータ活用がもたらす効果とは~

    CareTEX2019福岡 ( Fukuoka )  2019.07.03  publications/523

  • Application of Machine Learning and Sensor Data in Nurse Care Domains in Japan

    Innovation and Opportunity Forum   2019.06.20 

  • スマートフォン行動認識で介護の効率と質を向上する

    九州工業大学文部科学省イベント:AIで介護の課題解決を目指す!~介護現場でのセンサ行動認識システム実例/スマートライフケア共創工房のご紹介~ ( Tokyo )  2019.06.04  publications/519

  • 機械学習・データマイニングことはじめとIoT医療・介護応用

    九州地区大学図書館協議会総会 ( Kitakyushu )  2019.04.19  publications/509

  • デジタルトランスフォメーションのためのスマートフォン行動認識技術について

    九工大発シーズ・ビジネス化プロジェクト Vol.1 ~SIXPADに学ぶシーズの ビジネス化成功例~ ( Fukuoka )  2019.03.20  publications/518

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Honors and Awards 【 display / non-display

  • Best Paper Award Runner-up (Crowdsourcing System Management for Activity Data with Mobile Sensors)

    2019.05.31     UNITED STATES

    Winner: Nattaya Mairittha, Sozo Inoue

  • Best PhD Forum Presentation Award (Sensor-based Daily Activity Understanding in Caregiving Center)

    2019.03.04     SINGAPORE

    Winner: Tahera Hossain, Sozo Inoue

  • 2018 Excellent Student Award of IEEE Fukuoka Section "A Study on Sensor-based Activity Recognition Having Missing Data"

    2019.02.01     JAPAN

    Winner: Tahera Hossain, Md Atiqur Rahman Ahad, Hiroki Goto, Sozo Inoue

  • (Best paper award) "A Study on Sensor-based Activity Recognition Having Missing Data

    2018.06.28     JAPAN

    Winner: Tahera Hossain, Md Atiqur Rahman Ahad, Hiroki Goto, Sozo Inoue

 

Activities of Academic societies and Committees 【 display / non-display

  • 2018.04
    -
    2019.03

    Information Processing Society of Japan (IPSJ)  

  • 2016.01
     
     

    Information Processing Society of Japan (IPSJ)  

  • 2015.04
    -
    2016.03

    Information Processing Society of Japan (IPSJ)  

  • 2015.02
     
     

    Information Processing Society of Japan (IPSJ)  

  • 2015.01
     
     

    Information Processing Society of Japan (IPSJ)  

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PR 【 display / non-display

  • (PR for students)

    Human Activity in the World / Curing Future Diseases

  • (PR for company)

    Human Activity in the World / Curing Future Diseases