Faculty Profiles - SHIBATA Tomohiro

Conference Prsentations (Oral, Poster) -

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Can Recommendation by a Digital Signage Change a Customer's Purchase Decision?

International Symposium On Applied Engineering and Science 2015 (SAES 2015)

Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

ユーザフレンドリーな移動ロボットナビゲーションのための半自動トポロジカルマッピング

粂田真吾、Nishant Kejriwal, Swagat Kumar, 柴田智広

第33回　日本ロボット学会学術講演会

Baxter を用いたライフケアロボティクスの研究と社会実装

中田理公、Nishanth Koganti、柴田智広

Baxter を用いたライフケアロボティクスの研究と社会実装

Modeling Dynamic High-DOF Finger Postures from Surface EMG using Nonlinear Synergies in Latent Space Representation

The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

A Classification Method between Novice and Experienced Drivers Using Eye Tracking Data and Gaussian Process Classifier

SICE Annual Conference 2015

The Assist-As Needed Principle for Computer Agents

4th International Conference on Informatics, Electronics & Vision (ICIEV)

拡張現実（AR)技術における重ね合わせのコミュニケーション効果の実験

呉伽科、船谷浩之、川村洋次

日本広告学会第４５回全国大会

Predicting and Intervening on Shopper's Decision in Real Time on Two-Alternatives-Forced Tasks

Real-time Intervention on the Shopper's Decision Process by Autonomous Agents

Robotics Symposia

Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM

Hamada R., Kubo T., Ikeda K., Zhang Z., Shibata T., Bando T., Egawa M.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event date： 2013.10.18 Language：English

Prediction of driving behaviors is important problem in developing the next-generation driving support system. In order to take account of diverse driving situations, it is necessary to deal with multiple time series data considering commonalities and differences among them. In this paper we utilize the beta process autoregressive hidden Markov model (BP-AR-HMM) that can model multiple time series considering common and different features among them using the beta process as a prior distribution. We apply the BP-AR-HMM to actual driving behavior data to estimate VAR process parameters that represent the driving behaviors, and with the estimated parameters we predict the driving behaviors of unknown test data. The results suggest that it is possible to identify the dynamical behaviors of driving operations using BP-AR-HMM, and to predict driving behaviors in actual environment. © 2013 IEEE.

Estimation of Human-Cloth topological relationship using depth sensor for Robotic Clothing Assisitance

The 1st Annual International Conference of the ACM-RSI Advances in Robotics (AIR 2013)

Control of an Optimal Finger Exoskeleton based on Continuous Joint Angle Estimation from EMG signals

The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Fixation patterns of artists and laymen during observation of abstract paintings

Neuro 2013

User-Adaptive Robotic Training Accelerates Learning of Darts Throwing

Neuro 2013

Overt and Covert Speech Evoke Similar Voxel Patterns in Language Areas

Neuro 2013

赤外線深度センサを用いたマウスの自然な歩行解析システムの開発

中村彰宏、柴田智広

第60回日本実験動物学会総会

Accuracy Assessment of Kinect Body Tracker in Instant Posturography for Balance Disorders

2013 7th International Symposium on Medical Information and Communication Technology(ISMICT)

Extraction of Features Related to Researchers' Productivity from Life-Logs

Changes in Cortical Activities Associated with Proficiency in Basic Drumming Using Near-infrared Spectroscopy

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<SHIBATA Tomohiro>

Conference Prsentations (Oral, Poster) -