Faculty Profiles - WAGATSUMA Hiroaki

Papers - WAGATSUMA Hiroaki

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A Mathematical Framework for Logit Model in Transportation Mode Choice Analysis Reviewed

Altaweel Ahmad, Mine Kazuhito, Lee Bo-Young, Yoon Jang-Sok, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 897 - 901 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

Traditional transportation demand forecasting has relied on massive zone-specific aggregations, which assume a linear demand increase. Such models may lack the flexibility needed to perform dynamic and context-sensitive analyses. Recently, disaggregated behavioral models have gained prominence for requiring less data and enabling sensitivity analyses in policy decisions. This study explores the feasibility of a model focusing on the mathematical formulation and validation of the transportation mode choice model. The study uses the logit model with a non-linear probability distribution function represented by a logistic curve and incorporates a linear combination of independent predictor variables. The mathematical model is examined for its ability to estimate choice probabilities. The methodology is formulated to be adaptable to diverse contexts that provide an analytical framework for transportation systems independently of geographic or demographic considerations.

DOI： 10.5954/icarob.2025.gs5-3

Kyutacar

CiNii Research

A Gait Analysis with Multibody Dynamics Toward Energy-Efficient Active Knee Prostheses Reviewed International journal

Purevdorj Choisuren, Ge Yiqian, Kasai Shintaro, Dondogjamts Batbaatar, Naranbaatar Erdenesuren, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 873 - 877 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

In general, prosthetic knee users have a large stress in the locomotion due to less smoothness and unnecessary energy consumption. In the passive prosthesis, it is difficult to regulate the stiffness depending on the ground contact force. In consideration of designs for such an adaptivity to improve passive systems, we propose an artificial knee kinematics design to absorb the redundant contact force for the smooth and stable walking and explore necessary constraints for the proposed mechanics to be able to have multi-functions not only for walking but also knee flexion accumulating the power for jumping. In the analysis, we used Multibody Dynamics (MBD) to investigate. This result will contribute to design an integrated dynamic model by incorporating a flexible body and ground contact forces in various purposes.

DOI： 10.5954/icarob.2025.gs4-3

Kyutacar

CiNii Research

Signal Decomposition and Noise Reduction in Single-Channel EEG: A Morphological Component Analysis (MCA) Approach Reviewed International journal

Shibata Kosei, Yang Yide, Kato Rena, Chame Hendry Ferreira, Bougrain Laurent, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 923 - 927 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

This study applies the Morphological Component Analysis (MCA) to single-channel EEG data obtained during human-to-human interactions in a board game (Hex-game). MCA, a dictionary-based signal decomposition method, separates signals into distinct morphological components. It enables the extraction of plausible brain activity and the removal of noise, such as ocular and muscular artifacts. By focusing on neural dynamics in interactive settings, this approach highlights the relationship between cognitive processes and social behavior. The approach suggests that MCA offers a promising framework for EEG analysis in complex, dynamic environments, combining effective feature extraction with robust artifact removal.

DOI： 10.5954/icarob.2025.gs6-1

Kyutacar

CiNii Research

Developing a Sound-Based Method to Synchronize Multiple Videos Recorded by Multiple Sound Sources Reviewed

Jargal Davaanyam, Kato Rena, Taniguchi Tomoki, Shibata Kosei, Koga Takahiro, Al Aama Obada, Tamukoh Hakaru, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 815 - 820 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

The surround environmental monitoring from a vehicle on the road is important for the driving behavior analysis as well as the monitoring of driver's operations. A light weight mobile camera is useful for the record of multiple directions from the vehicle simultaneously. However, the timing synchronization is an important issue need to be solved. In this purpose, we proposed the sound-based method to synchronize different videos recorded with environmental sounds. In this task, the extraction of common sound features and amplifying of the features are necessary to superimpose those sound profiles to find consisting time points. In the validation the effectiveness, we used recoded videos from the bus driven by an expert driver.

DOI： 10.5954/icarob.2025.gs1-4

Kyutacar

CiNii Research

Analyzing Eye-Tracking Data to Detect Joint Attention in Hexgame Experiments Reviewed International journal

Yang Yide, Kato Rena, Shibata Kosei, Chame Hendry Ferreira, Bougrain Laurent, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 941 - 945 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

This study aims to explore the mechanisms of joint attention in a strategic game experiment by analyzing Tobii eyetracking data. In this experiment, two participants play Hexgame, during which the gaze direction is tracked and projected onto the game's board plane through perspective geometry, in order to track attention sharing correlates at particular stages of the game from behavioral data. The primary focus of this study is the analysis of eye-tracking data to identify attention coordination between players during the progression of the game. Future work will expand this framework to assess win probabilities and predict subsequent moves, providing deeper insights into strategic decisionmaking.

DOI： 10.5954/icarob.2025.gs6-5

Kyutacar

CiNii Research

An Adaptive Control Method for a Knee-Joint Prosthetic Leg Toward Dynamic Stability and Gait Optimization Reviewed International journal

Ge Yiqian, Purevdorj Choisuren, Kasai Shintaro, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 867 - 872 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

This paper presents a hybrid control strategy that combines Model Predictive Control (MPC) and Linear Quadratic Regulator (LQR) to achieve robust and stable tracking of human knee joint motion. The state-space model of the system is discretized to facilitate real-time implementation. MPC is employed to track the knee joint trajectory during dynamic motion, while the LQR controller is activated at critical points, particularly when the joint angle approaches zero, to stabilize the system and ensure safety.

DOI： 10.5954/icarob.2025.gs4-2

Kyutacar

CiNii Research

A Data Format Integration of Open-Street-Map and Lanelet2 Toward the Ontology Framework for Safety Automated driving systems Reviewed International journal

Al Aama Obada, Koga Takahiro, Taniguchi Tomoki, Jargal Davaanyam, Oishi Junya, Nemoto Shigeru, Mizushina Wataru, Hirao Kazuki, Tamukoh Hakaru, Wagatsuma Hiroaki

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 30 808 - 814 2025.02

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

This study proposes a framework that integrates OpenStreetMap (OSM) data with ontology-based systems to enhance automated driving. OSM provides static geographical data, while the Lanelet2 mapping framework incorporates lanelevel road information and topological relationships. This combination enables advanced testing of vehicle behavior in realistic environments. Ontology-based integration offers semantic representations of road elements and traffic rules, supporting the modeling of complex driving scenarios. By structuring spatial and semantic data, this approach ensures accurate simulation and testing, facilitating applications such as traffic analysis, route optimization, and automated driving decision-making. The framework enhances scalability, precision, and safety in autonomous vehicle development, enabling more effective testing and validation. This integration supports comprehensive, context-aware simulations that improve vehicle response to real-world driving conditions.

DOI： 10.5954/icarob.2025.gs1-3

Kyutacar

CiNii Research

Objective Evaluation of Out-of-Competition Volume of Action in Wheelchair Basketball Classification Reviewed International journal

Shimoyama Y., Kasai S., Wagatsuma H., Ibusuki T., Tsukada T., Tachibana K.

Sports 13 ( 2 ) 2025.02

Signal Decomposition and Noise Reduction in Single-Channel EEG: A Morphological Component Analysis (MCA) Approach Reviewed International journal

Shibata K., Yang Y., Kato R., Chame H.F., Bougrain L., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 917 - 921 2025.01

Developing a Sound-Based Method to Synchronize Multiple Videos Recorded by Multiple Sound Sources Reviewed International journal

Jargal D., Kato R., Taniguchi T., Shibata K., Koga T., Al Aama O., Tamukoh H., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 809 - 814 2025.01

Analyzing Eye-Tracking Data to Detect Joint Attention in Hexgame Experiments Reviewed International journal

Yang Y., Kato R., Shibata K., Chame H.F., Bougrain L., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 935 - 939 2025.01

An Adaptive Control Method for a Knee-Joint Prosthetic Leg Toward Dynamic Stability and Gait Optimization Reviewed International journal

Ge Y., Purevdorj C., Kasai S., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 861 - 866 2025.01

A Mathematical Framework for Logit Model in Transportation Mode Choice Analysis Reviewed International journal

Altaweel A., Mine K., Lee B.Y., Yoon J.S., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 891 - 895 2025.01

A Gait Analysis with Multibody Dynamics Toward Energy-Efficient Active Knee Prostheses Reviewed International journal

Purevdorj C., Ge Y., Kasai S., Batbaatar D., Erdenesuren N., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 867 - 871 2025.01

A Data Format Integration of Open-Street-Map and Lanelet2 Toward the Ontology Framework for Safety Automated driving systems Reviewed International journal

Al Aama O., Koga T., Taniguchi T., Jargal D., Oishi J., Nemoto S., Mizushina W., Hirao K., Wagatsuma H., Tamukoh H.

Proceedings of International Conference on Artificial Life and Robotics 802 - 808 2025.01

A Computational Approach for Global Trade Analysis in Korea Contributing to the Forecasting of Future Efficacy in Global and Domestic Korean Transportations Reviewed International journal

Lee B.Y., Altaweel A., Mine K., Yoon J.S., Wagatsuma H.

Proceedings of International Conference on Artificial Life and Robotics 896 - 900 2025.01

A Systematic Recording System to Analyze ERD/ERS in EEG to Focus Individual Timing Differences in a Three-Grasping-Type Task Reviewed International journal

Shibata Kosei, Fujiwara Masayuki, Duc Phan Hoang Huu, Bougrain Laurent, Henaff Patrick, Wagatsuma Hiroaki

ICIC Express Letters, Part B: Applications ( ICIC International ) 15 ( 10 ) 1009 - 1016 2024.10

Authorship：Last author Language：English Publishing type：Research paper (scientific journal)

Motor rehabilitation is a physiotherapy technique for restoring motor functions in Activities of Daily Living (ADL) of patients with brain damages. Despite initial rapid recovery, progress tends to decline after six months, making rehabilitation challenging. In this sense, possible feedback on the evolution of the brain activities since the reconstruction’s start contributes to maintaining the patient’s motivation to improve effectiveness. While frequent visualization by fMRI is ideal but costly, and hence the growing interest in cost-effective EEG-based visualization. In this study, we developed an Event-Related Desynchronization/Synchronization (ERD/ERS) analysis system. This system leverages motion capture and pressure sensors to select the onset timing in three grasping-type tasks. The system effectively reports the comparison among timings of the initiation of brain activities and movement-onset and reaching to the target object, for capturing appropriate activities for target motor functions. Through an EEG experiment involving three participants, we were able to verify the validity of the sound-based onset stimulus in the task. The system also highlighted the variability of motion timings across different participants and trials. This study underscores the potential of EEG-based systems in enhancing motor rehabilitation efforts.

DOI： 10.24507/icicelb.15.10.1009

Kyutacar

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85205421060&origin=inward

Personalized Feedback in Formative Assessment Support System “Key Words Meeting” for Encouraging Motivation of Learners and Monitoring Their Performance in Individual Classrooms Reviewed International journal

Lee Seungshin, Kurishima Kazuhiro, Jahng Doosub, Wagatsuma Hiroaki

ICIC Express Letters ( ICIC International ) 18 ( 7 ) 731 - 738 2024.07

A Quality Analysis of the BiLSTM Encoder Decoder Model with Modified J-Divergence for Sentences with Different Complexities Reviewed International journal

Shrivastava Manu, Wagatsuma Hiroaki

ICIC Express Letters ( ICIC International ) 18 ( 7 ) 721 - 729 2024.07

An ANCF-Based Theoretical Framework to Deal with Large Deformation of Elastic Element Embedded in Human Knee Joint Orthoses Reviewed International journal

Kasai Shintaro, Wagatsuma Hiroaki

ICIC Express Letters ( ICIC International ) 18 ( 6 ) 607 - 614 2024.06

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Papers - WAGATSUMA Hiroaki