Yasuo Namioka

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 13

Top Topics

Daily Activities

Activity Recognition

Preliminary Investigation

Top Venues

PerCom Workshops

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

J. Inf. Process.

Publications

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 Mob. Comput. 88 (2023)
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. PerCom (2022)
Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, Takuya Maekawa
Comparative Analysis of High- and Low-Performing Factory Workers with Attention-Based Neural Networks. MobiQuitous (2021)
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. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (3) (2020)
Masakazu Yoshimura, Murilo M. Marinho, Atsushi Nakazawa, Kanako Harada, Mamoru Mitsuishi, Takuya Maekawa, Yasuo Namioka
Towards Overhead Semantic Part Segmentation of Workers in Factory Environments from Depth Images using a FCN. CBS (2019)
Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, Yasuo Namioka
Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (2) (2019)
Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa, Yasuo Namioka
Preliminary Evaluation of a Framework for Overhead Skeleton Tracking in Factory Environments using Kinect. iWOAR (2017)
Yasuo Namioka, Akira Masuda, Takuya Maekawa
Unconstrained Person Identification from Ceiling Using Multiview Learning for Tabletop Users. J. Inf. Process. 25 (2017)
Yasuo Namioka, Daisuke Nakai, Kazuya Ohara, Takuya Maekawa
Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor. J. Inf. Process. 25 (2017)
Takuya Maekawa, Daisuke Nakai, Kazuya Ohara, Yasuo Namioka
Toward practical factory activity recognition: unsupervised understanding of repetitive assembly work in a factory. UbiComp (2016)
Akira Masuda, Takuya Maekawa, Yasuo Namioka
Preliminary investigation of unconstrained person identification for tabletops using soft biometrics. PerCom Workshops (2016)
Takuya Maekawa, Akira Masuda, Yasuo Namioka
Identification from ceiling: unconstrained person identification for tabletops using multiview learning. MUM (2016)
Daisuke Nakai, Takuya Maekawa, Yasuo Namioka
Towards unsupervised measurement of assembly work cycle time by using wearable sensor. PerCom Workshops (2016)
Takaaki Nakasiba, Akitsugu Tsuchiya, Yoshitomo Ikkai, Norihisa Komoda, Yasuo Namioka
Intelligible description language and its rapid verification method for design support of distributed sequential control systems. ETFA (2) (2001)
Yasuo Namioka, Toshikazu Tanaka, Hiroyuki Mizutani, Takayuki Matsudaira
Planning method used in visual programming for sequence-control program design with sequential function chart. IEEE Trans. Ind. Electron. 44 (3) (1997)
Yasuo Namioka, Hiroyuki Mizutani
Visual Environments for Designing Sequence Control Program with AI Planning. VL (1997)
Yasuo Namioka, Toshikazu Tanaka
Knowledge Compilation for Interactive Design of Sequence Control Programs. IEA/AIE (1996)
Hiroyuki Mizutani, Yasuko Nakayama, Satoshi Ito, Yasuo Namioka, Takayuki Matsudaira
Automatic Programming for Sequence Control. IAAI (1992)