Mizuki Kobayashi and Kaori Fujinami, “An Exercise Recommendation System While Performing Daily Activities Based on Contextual Information”, In Proceedings of the 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications (IARIA Congress 2023), pp. 188-195, 13-17 November 2023. [paper link][slides link]
2021年度博士前期課程修了生の段雨豪君の研究が論文誌Sensors and Materialsに採録され,掲載されました.身体の最大7カ所(図1 (a))に装着した加速度センサで図1((a)から(x))のような23種の日常行動を認識するためのモデル(RandomForest,CNN-LSTM,CNN-Transformer)とセンサ装着位置の組み合わせ(1個から7個全ての計127通り)を調査しました(図2).図2は全行動の平均が載っていますが,論文中では行動ごとの結果と認識モデルやGPU利用有無による処理速度の比較も示されています.これらの情報は,利用可能なセンサの数や装着場所,重点的に認識したい行動,オンライン処理性能などの要件に合わせて認識モデルや装着場所を選ぶ指針になります.
Yuhao Duan and Kaori Fujinami. Effect of combinations of sensor positions on wearable sensor-based human activity recognition, Sensors and Materials, Vol. 35, No. 7 (1), pp. 2175-2193, 2023. [link]
M2の小林さんの「ながら運動」に関する研究と2020年度修了の半谷さんのパブリックディスプレイに対する誘目性向上手法に関する研究をHCII2022併催の10th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI2022)にてオンライン発表しました.
Mizuki Kobayashi, Airi Tsuji, and Kaori Fujinami, “An Exercise Promoting System for Exercising while Doing Desk Work”, In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. HCII 2022. Lecture Notes in Computer Science, vol 13326. Springer, Cham. (online)
Chihiro Hantani, Airi Tsuji, and Kaori Fujinami, “A Study on Projection-Based Public Displays that Attract People with Peripheral Vision”, In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities. HCII 2022. Lecture Notes in Computer Science, vol 13325. Springer, Cham. (online)
Yuji Chiba, Airi Tsuji, and Kaori Fujinami, “A Preliminary Comparative Study on Image Stabilization Techniques Projected on the Floor through Chest-mounted Projector”, In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1583. Springer, Cham. (online)
藤波がプログラム委員長を務めたThe 3rd International Conference on Activity and Behavior Computing (ABC2021)での発表論文を集めた書籍がSpringer社より,Sensor- and Video-Based Activity and Behavior Computingとして出版されました(link).
Mitsuaki Saito and Kaori Fujinami; “Unknown On-Body Device Position Detection Based on Ensemble Novelty Detection”, Sensors and Materials, Vol. 32, No. 1, pp. 27-40, 2020. (link)
Mitsuaki Saito and Kaori Fujinami; “Evaluation of Novelty Detection Methods in On-Body Smartphone Localization Problem”, In Proceedings of the 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp. 470-474, 16 October, 2019.
Mitsuaki Saito and Kaori Fujinami; “Applicability of DBSCAN in Identifying the Candidates of New Positions in on-Body Smartphone Localization Problem”, In Proceedings of the 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), October 2020.
Mitsuaki Saito and Kaori Fujinami; “New Class Candidate Generation applied to On-Body Smartphone Localization”, In Activity and Behavior Computing. Smart Innovation, Systems and Technologies, vol. 204, pp. 81-98, Springer Singapore, 2021. (presented in the 2nd International Conference on Activity and Behavior Computing (ABC2020), 26-29 August 2020.)
本研究室からの論文2篇が論文誌(Sensors and Materials)に採録され,オンラインで公開されました.
Miki Kawato and Kaori Fujinami; “Acoustic-sensing-based Gesture Recognition Using Hierarchical Classifier”, Sensors and Materials, Vol. 32, No. 9, pp. 2981-2998, 2020. [link]
Trang Thuy Vu and Kaori Fujinami; “Personalizing Activity Recognition Models by Selecting Compatible Classifiers with a Little Help from the User”, Sensors and Materials, Vol. 32, No. 9, pp. 2999-3017, 2020. [link]
Trang Thuy Vu and Kaori Fujinami; “Understanding Compatibility-based Classifier Personalization in Activity Recognition”, In Proceedings of the 1st International Conference on Activity and Behavior Computing (ABC2019), pp. 97-102, May 2019.
Trang Thuy Vu and Kaori Fujinami; “Examining Hierarchy and Granularity of Classifiers in Compatibility-based Classifier Personalization”, In Proceedings of the 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp. 553-554, 16 October, 2019.
10/15-18に大阪で開催されたGlobal Conference on Consumer Electronics (GCCE’19)にて以下の発表を行いました.
Mitsuaki Saito and Kaori Fujinami; “Evaluation of Novelty Detection Methods in On-Body Smartphone Localization Problem”, In Proceedings of the 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp. 470-474, 16 October, 2019.
Trang Thuy Vu and Kaori Fujinami; “Examining Hierarchy and Granularity of Classifiers in Compatibility-based Classifier Personalization”, In Proceedings of the 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp. 553-554, 16 October, 2019.
福岡(博多)で8月5〜8で開かれた2019 IEEE International Conference on Dependable, Automatic and Secure Computing (DASC), Pervasive Intelligence and Computing (PICom), Cloud and Big Data Computing (CBDCom), and Cyber Science and Technology Congress (CyberSciTech)において以下の2件のポスター発表を行いました.
Mitsuaki Saito and Kaori Fujinami; “Extensible On-Body Smartphone Localization: A Project Overview and Preliminary Experiment”.
Kaori Fujinami, Trang Thuy Vu, and Koji Sato; “A Framework for Human-centric Personalization of Context Recognition Models on Mobile Devices”.
社会人博士課程学生のVu Thuy TrangさんがSpokane, WA USAで開催された1st International Conference on Activity and Behavior Computing (ABC’19)にて“Understanding Compatibility-based Classifier Personalization in Activity Recognition”と題する口頭発表を行いました.