Faculty Profiles - SHIBATA Tomohiro

Papers - SHIBATA Tomohiro

Division display41 - 60 of about 156／ All the affair displays >>

個性を数理モデリングする

柴田智広

「個性」創発脳　News Letter ( 「個性」創発脳ニュースレター編集局 ) ( 7 ) 11 - 11 2020.03

Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics Reviewed International journal

Dwivedi, S.K., Ngeo, J.G., and Shibata, T.

IEEE Transactions on Biomedical Engineering ( IEEE ) 67 ( 9 ) 2646 - 2658 2020.01

Quantitative Evaluation of Clothing Assistance using Whole-Body Robotic Simulator of the Elderly Reviewed International journal

Joshi, R.P., Shibata, T., Ogata, T., and Matsumoto, Y.

IEEE Xplore ( IEEE ) 1 - 6 2020.01

Primate Markerless Pose Estimation and Movement Analysis Using DeepLabCut Reviewed

Labuguen,R., Bardeloza, D,K., Blanco,N,S., Matsumoto,J., and Shibata,T.

IEEE Explore ( IEEE ) 297 - 300 2019.10

An Approach to Extract Nonlinear Muscle Synergies from sEMG through Multi-Model Learning Reviewed

Dwivedi,S,K.and Shibata,T.

IEEE Explore 2019.10

Building Foundations for the Creation of a Smart Life Care Society

Shibata Tomohiro, Inoue Sozo, Soma Isao

SYSTEMS, CONTROL AND INFORMATION ( THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS ) 63 ( 8 ) 323 - 328 2019.08

A framework for robotic clothing assistance by imitation learning Reviewed International journal

Joshi, Ravi, Prakash., Koganti, N.,and Shibata, T.

Advanced Robotics 33 ( 22 ) 1156 - 1174 2019.07

Gait Evaluation on Parkinson's Disease Patients Using Spontaneous Stimulus Induced by UPS-PD Reviewed International journal

Higuchi,A., Shiraishi,J.,Kurita,Y.,Shchelkanova,E.,Ikeda,Y.,Shibata.T.

IEEE Xplore 412 - 416 2019.04

Data-efficient Learning of Robotic Clothing Assistance using Bayesian Gaussian Process Latent Variable Models Reviewed

Koganti, N. Shibata. T., Tamei, T., Ikeda, K.

Advanced Robotics ( RSJ ) 33 ( 15-16 ) 800 - 814 2019.04

Garment Recognition and Grasping Point Detection for Clothing Assistance Task using Deep Learning∗ Reviewed

Saxena K., Shibata T.

Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019 632 - 637 2019.04

ITS Japan 関連学識経験者の取り組み、研究領域や成果のご紹介

柴田智広

News Letter from ITS Japan ( ITS Japan ) ( 41 ) 11 - 11 2019.03

Clothing Extremity Identification Using Convolutional Neural Network Regressor Reviewed

Ngo, G., Gaurav, V., and Shibata, T.

IEEExplore 436 - 441 2019.02

Mouse Anatomical Cardinal Planes and Axes Towards Augmentation for Behavior Analysis Reviewed

Blanco Negrete, S., Joshi, R.P., Labuguen, R., Matsumoto, J., and Shibata, T.

IEEExplore 195 - 199 2019.02

IoT行動認識技術の実用化とオープンイノベーションへの取り組み

井上創造, 房前悟, 相馬功, 柴田智広

計測と制御 ( 公益社団法人計測自動制御学会 ) 58 ( 2 ) 84 - 88 2019.02

Proposal of a New Walker System with Self-Induced Force Stimulation for Improving Freezing of Gait in Parkinson's Disease Patients

SAKATA Takuma, HIGUCHI Ai, SHIBATA Tomohiro

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2019 ( 0 ) 2A2 - A04 2019.01

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

<p>In this paper, we propose a new walker system for improving Freezing of Gait in Parkinson's Disease Patients. The system consists of walker with an assistive motor controller with torque sensors and UPS-PD, a pneumatic-based locomotion assistive device. This paper also presents preliminary evaluation of the system, which shows a possibility of estimating the user's walking period using the torque sensors.</p>

DOI： 10.1299/jsmermd.2019.2A2-A04

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007774810

Multiple Clothes Recognition Using Mask R-CNN for Robot Manipulation

Fukuyado Masashi, Yamaguchi Fumiaki, Shibata Tomohiro

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2019 ( 0 ) 2P2 - J02 2019.01

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

<p>In a super-ageing society, automating washing, which is a heavy burden among housework, helps to support the lives of elderly people. Among washing automation, the accuracy of clothing identification images obtained from a robot camera greatly influences on the subsequent operation of clothes. In this research, we aim to correctly recognize each garment from multiple clothes. We perform instance segmentation of images containing multiple clothes by Mask R - CNN which is a latest Deep Learning method. We also define the extent of overlapping of clothes as complexity and evaluate the degree to which accuracy is related to complexity.</p>

DOI： 10.1299/jsmermd.2019.2P2-J02

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007775267

柴田研究室訪問

田中敏文

立石科学技術振興財　第27号成果集 ( 立石科学技術振興財 ) ( 27 ) 21 - 25 2018.09

AI & Robotics

Shibata T

( The Japan Society of Mechanical Engineers ) 2018.08