Journal

1. Heng Zhou, Takuya Maekawa, "GPS-assisted Indoor Pedestrian Dead Reckoning," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), January 2023.
2. Kei Tanigaki, Teoh, Chuin, Tze, Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, "Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.6, no.3, pp.1-33, September 2022.
3. 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.
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. Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara, "Detecting Door Events Using a Smartphone Via Active Sound Sensing," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.2, no.4, pp.Article No.160, December 2018.
7. Tomoya Nakatani, Takuya Maekawa, Masumi Shirakawa, Takahiro Hara, "Estimating the Physical Distance between Two Locations with Wi-Fi Received Signal Strength Information Using Obstacle-aware Approach," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.2, no.130, September 2018.
8. Kazuya Ohara, Takuya Maekawa, Yasuyuki Matsushita, "Detecting State Changes of Indoor Everyday Objects using Wi-Fi Channel State Information," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.1, no.88, September 2017.