Keisuke HIGASHIURA is a Master Student of Department of Information and Communication Engineering, Graduate School of Engineering, Nagoya University.
Education
2022.04 - now
Graduate School of Engineering, Nagoya University
2018.04 - 2022.03
School of Engineering, Nagoya University
2015.04 - 2018.03
Hyogo Pref. Kobe High School
Publications
Yusuke Asai, Yuki Mori, Keisuke Higashiura, Kodai Yokoyama, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi:
Towards a Real-Time and Energy-Efficient Edge AI Camera Architecture in Mega Warehouse Environment
RAGE2024 @CPS-IOT WEEK 2024 The 3rd Real-time And intelliGent Edge computing workshop, 2024.5.
Keisuke Higashiura, Kodai Yokoyama, Yusuke Asai, Hironori Shimosato, Kazuma Kano, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi:
Semi-Automated Framework for Digitalizing Multi-Product Warehouses with Large Scale Camera Arrays
The 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom2024), 2024.3.
Kazuma Kano, Keisuke Higashiura, Koki Takigami, Kohei Yamaguchi, Yoshiteru Nagata, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi:
Hybrid Positioning with Deep Learning based PDR and BLE Beacons
HCG Symposium (HCGSYMPO) 2023, 2023.12. Special Feature Theme Session Award (Location Informatics)
Keisuke Higashiura,Naoki Tamura, Rui Hirano, Kento Washida, Namiki Sakakura, Kohei Yamaguchi, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi:
Transportation Mode Estimation for Spatio-Temporally Biased Large Positioning Data
Multimedia, Distributed, Cooperative, and Mobile Symposium (DICOMO2022), 2022.7.
Keisuke Higashiura, Takuto Yoshida, Kazuma Kano, Koki Takigami, Kohei Yamaguchi, Kenta Urano, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi:
A Machine Learning Approach for Online Pre-Impact Fall Detection with IMU Sensors
Workshop of Special Interest Group on Society and Artificial Intelligence (WSSIT2022), 2022.3.
Tomoki Choya, Yoshiteru Nagata, Keisuke Higashiura, Hironori Shimosato,Kohei Yamaguchi, Daichi Murai, Nobuya Fukatani, Namiki Sakakura,Yuta Toide, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi: Deep Learning for Handwriting RecognitionUsing IMU-Equipped Pen
Workshop of Social System and Information Technology (WSSIT2022), 2022.3.