Faculty Profiles - KAWAGUCHI, Nobuo

Papers - KAWAGUCHI, Nobuo

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Editor's Message to Special Issue of Pervasive System and Intelligent Transportation Systems for Future Life. Reviewed

Nobuo Kawaguchi

JIP Vol. 27 ( 0 ) page： 1 - 1 2019

A Smartphone 3D Positioning Method using a Spinning Magnet Marker. Reviewed

Kosuke Watanabe, Kei Hiroi, Takeshi Kamiyama, Hiroyuki Sano, Masakatsu Tsukamoto, Masaji Katagiri, Daizo Ikeda, Katsuhiko Kaji, Nobuo Kawaguchi

JIP Vol. 27 ( 0 ) page： 10 - 24 2019

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Information Processing Society of Japan

In recent years, the importance of location information has increased due to the popularization of terminals such as smartphones. Our purpose is to estimate the 3D position of smartphones within several centimeters. This location information can reveal a person's behavior patterns and subject of interest. A method based on dynamic magnetism can estimate the 3D position of a terminal within several centimeters, and it is robust against the environment. However, since the performance of the smartphone's magnetic sensor is limited, this method cannot be used in smartphones. In this research, we propose a smartphone 3D positioning method using a Spinning Magnet Marker (SMM) that spins a powerful neodymium magnet with a motor. Magnetoquasistatic field generated by an SMM is detected by a magnetic sensor mounted on a smartphone, and the 3D position of a smartphone based on the SMM is estimated from the magnetism. We developed an SMM with a stepper motor to improve estimation accuracy. In addition, we studied the magnetism generated by an SMM and derive equations to estimate the 3D position of a smartphone. Furthermore, we improved the estimation accuracy and expanded coverage by introducing a noise reduction method. We evaluate the estimation accuracy of the proposed method. When the azimuth angle is 0°, the elevation angle is 0°, and the distance is 3m, the azimuth angle is estimated with a mean error of 1°, the elevation angle is estimated with a mean error of 4°, and the distance is estimated with a mean error of 9cm.

DOI： 10.2197/ipsjjip.27.10

Scopus

CiNii Research

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Ballroom Dance Step Type Recognition by Random Forest Using Video and Wearable Sensor

Matsuyama Hitoshi, Hiroi Kei, Kaji Katsuhiko, Yonezawa Takuro, Kawaguchi Nobuo

UBICOMP/ISWC'19 ADJUNCT: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS page： 774-780 2019

配布型BLEタグとタンデムスキャナを用いた屋内位置推定手法 Reviewed

浦野健太, 廣井慧, 梶克彦, 河口信夫

情報処理学会論文誌 Vol. 60 page： 58 - 75 2019

Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car. Reviewed

Kenta Urano, Kei Hiroi, Shinpei Kato, Nozomi Komagata, Nobuo Kawaguchi

IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019 page： 826 - 831 2019

Hybrid Activity Recognition for Ballroom Dance Exercise using Video and Wearable Sensor

Matsuyama Hitoshi, Hiroi Kei, Kaji Katsuhiko, Yonezawa Takuro, Kawaguchi Nobuo

2019 JOINT 8TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) WITH INTERNATIONAL CONFERENCE ON ACTIVITY AND BEHAVIOR COMPUTING (ABC) page： 112 - 117 2019

Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car

Urano Kenta, Hiroi Kei, Kato Shinpei, Komagata Nozomi, Kawaguchi Nobuo

2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) page： 826 - 831 2019

Gait Dependency of Smartphone Walking Speed Estimation using Deep Learning. Reviewed

Takuto Yoshida, Junto Nozaki, Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. page： 641 - 642 2019

A Smartphone Short-Range Path Estimation with Hyperbolic Function for Spinning Magnet Marker. Reviewed

Kosuke Watanabe, Nobuo Kawaguchi

IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019 page： 459 - 460 2019

An End-to-End BLE Indoor Location Estimation Method Using LSTM

Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU) 2019

Basic Study of BLE Indoor Localization using LSTM-based Neural Network. Reviewed

Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. page： 558 - 559 2019

Capturing Subjective Time as Context and It's Applications. Reviewed

Takuro Yonezawa, Yuuki Nishiyama, Kei Hiroi, Nobuo Kawaguchi

Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. page： 647 - 648 2019

Compensation Scheme for PDR Using Component-Wise Error Models. Reviewed

Junto Nozaki, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi

Human Activity Sensing - Corpus and Applications page： 29 - 46 2019

End-to-end walking speed estimation method for smartphone PDR using DualCNN-LSTM

Kawaguchi N., Nozaki J., Yoshida T., Hiroi K., Yonezawa T., Kaji K.

CEUR Workshop Proceedings Vol. 2498 page： 463 - 470 2019

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：CEUR Workshop Proceedings

Most of the current inertial positioning systems can be categorized as the strapdown algorithm and the step-and-heading approach. However, for the strapdown algorithm using smartphone as a sensor device, the accuracy of the current MEMS based accelerometer are not enough for estimating relative movement. Also, for the step-and-heading approach, robust estimation of step length is always difficult. In this paper, we propose an end-to-end walking speed estimation method using Deep Learning to overcome these problems. By using our method, we can achieve a smartphone PDR with higher accuracy and better robustness to gait type.

Scopus

Human Activity Sensing Corpus and Applications Preface

Kawaguchi Nobuo, Nishio Nobuhiko, Roggen Daniel, Inoue Sozo, Pirttikangas Susanna, Van Laerhoven Kristof

HUMAN ACTIVITY SENSING: CORPUS AND APPLICATIONS page： V - V 2019

An End-to-End BLE Indoor Location Estimation Method Using LSTM

Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU) 2019

A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles

Narksri Patiphon, Takeuchi Eijiro, Ninomiya Yoshiki, Morales Yoichi, Akai Naoki, Kawaguchi Nobuo

2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) page： 497-504 2018

Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge

Yuki Yuta, Nozaki Junto, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) page： 1643-1651 2018

IMAGE TRANSLATION BETWEEN SAR AND OPTICAL IMAGERY WITH GENERATIVE ADVERSARIAL NETS

Enomoto Kenji, Sakurada Ken, Wang Weiming, Kawaguchi Nobuo, Matsuoka Masashi, Nakamura Ryosuke

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM page： 1752-1755 2018

Image-Matching Based Identification of Store Signage Using Web-Crawled Information

Liao Chenyi, Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

IEEE ACCESS Vol. 6 page： 45590-45605 2018

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Papers - KAWAGUCHI, Nobuo