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Journal

  1. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa, "MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks," Pervasive and Mobile Computing (PMC), vol.88, pp.101735, January 2023.
  2. Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, Atsushi Wada, Yasuo Namioka, "Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.6, no.2, pp.86, June 2022.
  3. 浪岡 保男, 前川 卓也, "製造現場でのモノづくりCPSの構築に寄与する作業情報の自動抽出手法," 東芝レビュー(Web) , vol.76, no.1, 2021年1月.
  4. Qingxin Xia, Joseph Korpela, Yasuo Namioka, Takuya Maekawa, "Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.4, no.3, pp.30, September 2020.
  5. Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, Yasuo Namioka, "Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction Information," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.3, no.2, pp.1-23, June 2019.
  6. 浪岡 保男, 前川 卓也, "ウエアラブルセンサーを用いた繰り返し作業のサイクルタイム自動計測手法," 東芝レビュー(Web) , vol.73, no.3, pp.50-54, 2018年5月.
  7. Yasuo Namioka, Akira Masuda, Takuya Maekawa, "Unconstrained Person Identification from Ceiling Using Multiview Learning for Tabletop Users," Journal of Information Processing (JIP), vol.58, no.10, pp.889-900, October 2017.
  8. Yasuo Namioka, Daisuke Nakai, Kazuya Ohara, Takuya Maekawa, "Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor," Journal of Information Processing (JIP), vol.58, no.10, pp.901-911, October 2017.

International Conference

  1. Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, Takuya Maekawa, "Comparative Analysis of High- and Low-Performing Factory Workers with Attention-Based Neural Networks," Proceedings of International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS), March 2022.
  2. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa, "Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks," Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2022.
  3. Takuya Maekawa, Akira Masuda, Yasuo Namioka, "Identification from Ceiling: Unconstrained Person Identification for Tabletops Using Multiview Learning," Proceedings of International Conference on Mobile and Ubiquitous Multimedia (MUM), pp.273-284, December 2016.
  4. Kazuya Ohara, Daisuke Nakai, Takuya Maekawa, Yasuo Namioka, "Preliminary Investigation of Unsupervised Measurement of AssemblyWork Lead Time by UsingWearable Sensor," Proceedings of Asian Conference on Information Systems (ACIS), pp.217-218, October 2016.
  5. Takuya Maekawa, Daisuke Nakai, Kazuya Ohara, Yasuo Namioka, "Toward Practical Factory Activity Recognition: Unsupervised Understanding of Repetitive Assembly Work in a Factory," Proceedings of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp.1088-1099, September 2016.
  6. Daisuke Nakai, Takuya Maekawa, Yasuo Namioka, "Towards Unsupervised Measurement of Assembly Work Cycle Time by Using Wearable Sensor," Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2016.
  7. Akira Masuda, Takuya Maekawa, Yasuo Namioka, "Preliminary Investigation of Unconstrained Person Identification for Tabletops using Soft Biometrics," Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2016.

Domestic Conference

  1. 吉村 直也, 前川 卓也, 原 隆浩, 和田 篤, 浪岡 保男, "工場・物流センタにおける作業順序を考慮した少量学習データでの作業行動認識手法の検討," 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 (UBI), 2022年6月.
  2. Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, Takuya Maekawa, "A Supporting Technique for Comparative Analysis of Factory Work by Skilled and Unskilled Workers using Neural Network with Attention Mechanism," 情報処理学会 マルチメディア, 分散, 協調とモバイル シンポジウム (DICOMO), 2021年6月.
  3. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Takuya Maekawa, Atsushi Wada, Yasuo Namioka, "Preliminary investigation on activity recognition for packaging tasks using motif-guided attention networks," 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 (UBI), pp.1-8, 2020年12月.
  4. Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, Yasuo Namioka, "Preliminary Investigation of Assembly Work Activity Recognition with Wearable Sensors Via Unsupervised Learning," 情報処理学会 マルチメディア, 分散, 協調とモバイル シンポジウム (DICOMO), 2019年6月.
  5. Qingxin Xia, Joseph Korpela, Takuya Maekawa, Atsushi Wada, Yasuo Namioka, "Preliminary Investigation of an Accelerated Algorithm for Unsupervised Assembly-work Activity Recognition with Acceleration Sensors," 電気学会 研究会資料 , pp.61-67, 2019年5月.
  6. 尾原 和也, 中井 大輔, 前川 卓也, 浪岡 保男, "ウェアラブルセンサを用いた教師なしライン作業分析に関する検討," 電気学会 情報システム研究会 , 2016年8月.

Award

  1. 吉村 直也, 前川 卓也, 原 隆浩, 和田 篤, 浪岡 保男, "国際発表奨励賞," 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 , 2022年11月.
  2. 吉村 直也, 前川 卓也, 原 隆浩, 和田 篤, 浪岡 保男, "優秀論文賞," 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 , 2022年6月.
  3. 夏 清心, Joseph Korpela, 浪岡 保男, 前川 卓也, "国際会議発表奨励賞," 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 , 2020年12月.
  4. 夏 清心, Joseph Korpela, 浪岡 保男, 前川 卓也, "優秀論文賞," 情報処理学会 マルチメディア, 分散, 協調とモバイル シンポジウム , 2020年9月.
  5. 夏 清心, 和田 篤, Joseph Korpela, 前川 卓也, 浪岡 保男, "国際会議発表奨励賞," 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 , 2019年12月.
  6. Yasuo Namioka, Daisuke Nakai, Kazuya Ohara, Takuya Maekawa, "Ipsj Specially Selected Paper," Journal of Information Processing , 2017年10月.
  7. Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa, Yasuo Namioka, "Runner-up Paper Award," International Workshop on Sensor-based Activity Recognition and Interaction , 2017年9月.
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