Faculty Profiles - YONEZAWA Takuro

Papers - YONEZAWA Takuro

Division display 41 - 60 of about 280 ／ All the affair displays >>

360 Robot Hand System for Omni-directional Interaction by Multiple Users Reviewed

Watanabe Y., Hayashida N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

ACM International Conference Proceeding Series page： 295 - 299 2023.11

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：ACM International Conference Proceeding Series

The rise of diverse digital environments like digital twins and the metaverse emphasizes the importance of telepresence methods for linking users across different spaces. These methods aim to boost communication and services between these spaces. This paper introduces RHS360, a 360-degree robot hand system designed for inter-spatial communication. RHS360 ensures the robot hand aligns precisely with the user in cyberspace, adjusting based on the user's movements in the virtual realm. This enables the robot hand not only to aid communication and gestures but also to convey crucial social cues, enhancing the overall communication experience. Additionally, a user survey was conducted, revealing that observing the robot hand's movements significantly improved understanding their partner's thoughts and fostered a greater sense of intimacy. These findings suggest that the proposed method enhances communication between different spaces.

DOI： 10.1145/3627050.3631573

Scopus

Trusted Inter-Reality基盤における利用主体に関するトラスト Invited Reviewed

金岡晃, 米澤拓郎

情報処理学会論文誌 Vol. 64 ( 12 ) page： 1590 - 1598 2023.10

Understanding Regional Characteristics Through EC Data Analysis. Reviewed

Kohei Yamaguchi, Kazuyuki Shoji, Naoki Tamura, Namiki Sakakura, Yuki Matsukura, Yu Hiranaga, Kohei Shimomura, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

HCI (26) Vol. 14036 LNCS page： 390 - 404 2023.7

CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility Invited

Choya T, Tamura N, Katayama S, Urano K, Yonezawa T, Kawaguchi N

PerCom Workshops page： 496 - 501 2023.3

Panoramic Ceiling Image Synthesis Method Prioritizing Fixture Outlines using an Omnidirectional Camera Reviewed

Kohama D., Nagata Y., Yasutake K., Urano K., Katayama S., Yonezawa T., Kawaguchi N.

2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023 2023

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023

The manual creation of a ceiling plan consumes many human resources to confirm the current state of existing buildings for the renovation. Especially the positions and the types of existing fixtures are important. In this paper, we propose a synthesis method for a panoramic ceiling image using a video shot by an omnidirectional camera. We utilize a Visual SLAM method to map the positions of omnidirectional video frames including the ceiling. We prioritize the clear depiction of fixture outlines for easier identification of the types of ceiling fixtures. To draw clear fixture outlines in the resulting image, each fixture is referred from the single video frame that captures it most clearly. In the experiment, we collected an omnidirectional video in the indoor area of approximately 273 square meters with multiple rooms. We evaluated the synthesized image for positional accuracy of the ceiling fixtures, and our proposed method demonstrated higher accuracy compared to the baseline.

DOI： 10.23919/ICMU58504.2023.10412256

Scopus

Panoramic Ceiling Image Synthesis Method Prioritizing Fixture Outlines using an Omnidirectional Camera Reviewed

Kohama, D; Nagata, Y; Yasutake, K; Urano, K; Katayama, S; Yonezawa, T; Kawaguchi, N

2023 FOURTEENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK, ICMU 2023

Open-Domain Dialogue Management Framework Across Multiple Device for Long-Term Interaction. Reviewed

Shin Katayama, Nozomi Hayashida, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

HCI (3) Vol. 14013 LNCS page： 354 - 365 2023

Mobility Link XR: Interspace Interaction System in Electric Wheelchair. Reviewed

Nozomi Hayashida, Hironori Shimosato, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

HCI (44) Vol. 1833 CCIS page： 314 - 320 2023

Digitization and Analysis Framework for Warehouse Truck Berth Reviewed

Yokoyama, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

2023 FOURTEENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK, ICMU 2023

Digitization and Analysis Framework for Warehouse Truck Berth Reviewed

Yokoyama K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023 2023

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023

In distribution warehouses, various forms of data transformation are underway, such as the conversion of data related to receiving and inventory management. Distribution warehouses have designated areas known as truck berths, where trucks are parked for loading/unloading. While data collection is expected to enhance work efficiency at these truck berths, there is no data regarding the status of work in progress in the unloading space, and no system is in place to analyze the work. Consequently, it is unclear which tasks are problematic and how to enhance efficiency. To address this issue, this paper proposes a framework for analyzing the loading/unloading situation at truck berths with the objective of enhancing berth utilization efficiency and work efficiency. Specifically, we employed a fixed camera for object detection through instance segmentation. This approach enables us to understand the situation of trucks, unloading spaces, and workers. The training data were annotated using a large amount of real-world data, allowing for the measurement and analysis of the efficiency of loading/unloading operations. By calculating the amount of cargo based on the floor space, we assessed the efficiency of unloading operations per truck. Through the analysis of both efficient and inefficient operations, insights for enhancing work efficiency were provided.

DOI： 10.23919/ICMU58504.2023.10412228

Scopus

Gait-Robust Heading Estimation Using Horizontal Acceleration for Smartphone-based PDR Reviewed

Kano K., Yoshida T., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

CEUR Workshop Proceedings Vol. 3581 2023

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

This study tackles heading estimation for Pedestrian Dead Reckoning (PDR) with smartphones. In dealing with changes in the holding posture of smartphones, it works to consider the relationship between sensor orientation and heading. However, the existing methods lack robustness to various gaits, such as sideways and backward walking. Therefore, we propose a novel method considering various spatiotemporal features of horizontal acceleration with deep learning. The proposed method calculates horizontal acceleration in the global coordinate system from measured acceleration, gravitational acceleration, and rotation vector. Then, it inputs the horizontal acceleration over a certain period into a deep neural network model and predicts the unit vector directed to the mean heading during that period. We created a dataset covering multiple gaits and evaluated the method using four models: Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), DualCNN-LSTM, and DualCNN-Transformer. Consequently, we found that the proposed method was more robust to gaits than the existing methods, with the DualCNN-LSTM and DualCNN-Transformer models achieving the highest accuracy.

Scopus

Gait-Robust Heading Estimation Using Horizontal Acceleration for Smartphone-based PDR. Reviewed

Kazuma Kano, Takuto Yoshida, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

IPIN-WiP 2023

ER-Chat: A Text-to-Text Open-Domain Dialogue Framework for Emotion Regulation Reviewed

Shin Katayama, Shunsuke Aoki, Takuro Yonezawa, Tadashi Okoshi, Jin Nakazawa, Nobuo Kawaguchi

IEEE Transactions on Affective Computing Vol. 13 ( 4 ) page： 2229 - 2237 2022.10

Dialogue Response Generation for Text-Based Dialogue Systems with Emotion Regulation

KATAYAMA Shin, YONEZAWA Takuro, KAWAGUCHI Nobuo

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Vol. 34 ( 3 ) page： 568 - 578 2022.8

Language：English Publishing type：Research paper (scientific journal) Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics

<p>Dialogue systems that handle emotions have been shown to improve user satisfaction and increase positive interactions, and are expected to play a role as a digital partner that accompanies humans. In order for dialogue systems to recognize user emotions and express their own emotions, emotion regulation methods that select appropriate emotions from the context of the dialogue are indispensable. In this paper, we propose a text-based dialogue framework that performs emotion regulation, which estimates appropriate emotions during response. Our proposed method estimates appropriate emotions by considering the semantic and emotional context of the user’s text, and generates dialogue responses with emotional expressions using a neural network. The effectiveness of the proposed method was demonstrated through automatic evaluation using an evaluation metrics for the quality of dialogue generation and human evaluation by 100 subjects collected through a crowdsourcing.</p>

DOI： 10.3156/jsoft.34.3_568

CiNii Research

Time-Sensitive Cooperative Perception for Real-Time Data Sharing over Vehicular Communications: Overview, Challenges, and Future Directions Reviewed

Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi, Peter Steenkiste, Ragunathan Raj Rajkumar

IEEE Internet of Things Magazine Vol. 5 ( 2 ) page： 108 - 113 2022.6

Deep Learning for Handwriting Recognition Using IMU-Equipped Pen Reviewed

CHOYA Tomoki, NAGATA Yoshiteru, HIGASHIURA Keisuke, SHIMOSATO Hironori, YAMAGUCHI Kohei, MURAI Daichi, FUKATANI Nobuya, SAKAKURA Namiki, TOIDE Yuta, URANO Kenta, YONEZAWA Takuro, KAWAGUCHI Nobuo

JSAI Technical Report, SIG-KBS Vol. 125 ( 0 ) page： 03 2022.3

<i>RobotNEST:</i> Toward a Viable Testbed for IoT-Enabled Environments and Connected and Autonomous Robots Reviewed

Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi

IEEE Sensors Letters Vol. 6 ( 2 ) page： 1 - 4 2022.2

A Data-Driven Approach for Online Pre-impact Fall Detection with Wearable Devices Reviewed

Takuto Yoshida, Kazuma Kano, Keisuke Higashiura, Kohei Yamaguchi, Koki Takigami, Kenta Urano, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi

Sensor- and Video-Based Activity and Behavior Computing Vol. 291 page： 133 - 147 2022

MetaPo: A Robotic Meta Portal for Interspace Communication. Reviewed

Takuro Yonezawa, Nozomi Hayashida, Kenta Urano, Johannes Przybilla, Yutaro Kyono, Nobuo Kawaguchi

SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference page： 28 - 2 2022

大規模屋外施設におけるWi-Fiパケットセンサへの影響と利活用の検証 Reviewed

米澤拓郎

情報処理学会論文誌デジタルプラクティス Vol. 3 page： 12 - 21 2022

　 PREV - NEXT 　

<YONEZAWA Takuro>

Papers - YONEZAWA Takuro