九州大学-研究者情報 [DANWATTA SANJAYA VIPULA BANDARA (助教) 工学研究院機械工学部門]

DANWATTA SANJAYA VIPULA BANDARA（だんわったさんじゃや　う゛いぷらばんだーら）

データ更新日：2024.04.26

助教　／　工学研究院機械工学部門

学会発表等

1.	D.S.V. Bandara, He Chongzaijiao, Jumpei Arata, Classification of Hand Motions Using Spatial Information in HDEMG Signals with HOG Features, ICCAE2024, 2024.03, [URL].
2.	D.S.V. Bandara, Study on understanding human motion intention with bio-signals, ヒューマンセントリックロボティクス研究専門委員会第十五回若手研究会, 2024.01.
3.	Mikihisa Ogata, Chen-Yu Huang, Tomoki Kojima, Hiroshi Ishizaki, Satoshi Haga, Takahiro Aoki, D.S.V. Bandara, Jumpei Arata, Ken-ichi Yayou, Masayoshi Kuwahara, Hirofumi Nogami, Cattle R-R Intereval and Pulse Rate Interval, BIO4APPS 2023, 2023.12, [URL].
4.	Zhu Junda、D.S.V. Bandara、Arata Jumpei, SVM based classifi cation of motor imagery tasks for rehabilitation using moving windowSTFT features with EEG signals., 第24回計測自動制御学会システムインテグレーション部門講演会, 2023.12, [URL].
5.	尾藤皇介、D.S.V. Bandara、荒田純平, 手指リハビリテーションロボットにおける慣性センサ導入による手指・前腕運動筋電位非干渉化に関する研究, 第24回計測自動制御学会システムインテグレーション部門講演会, 2023.12, [URL].
6.	前川友梧、D.S.V. Bandara、荒田純平, 通信遅延が大きい遠隔操作ロボットシステムにおけるデプスカメラ深度情報提示による操作支援手法の開発, 第24回計測自動制御学会システムインテグレーション部門講演会, 2023.12, [URL].
7.	鶴田敢人, Sanjaya V Bandara, 野上大史, 荒田純平, 疑似回転関節を用いた柔軟ロボット鉗子の開発, 第32回日本コンピュータ外科学会大会, 2023.12, [URL].
8.	緒方幹久, D.S.V.Bandara, 荒田純平, 黄宸佑, 兒嶋朋貴, 石崎宏, 矢用健一, 滄木孝弘, 桑原正貴, 野上大史, ウシのストレスモニタリングを目的とした脈波測定方法の確立, 第40回「センサ・マイクロマシンと応用システム」シンポジウム, 2023.11, [URL].
9.	安藤有輝, 野上大史, D.S.V. Bandara, 荒田純平, 「きぼう」での遠隔実験システム・ロボットツールにおけるエクスチェンジャーに関する研究, 第67回宇宙科学技術連合講演会, 2023.10, [URL].
10.	山野駿介, 野上大史, D.S.V. Bandara, 荒田純平, 「きぼう」での遠隔実験システム・ロボットツールに関する研究, 第67回宇宙科学技術連合講演会, 2023.10, [URL].
11.	鶴田敢人, Sanjaya V Bandara, 野上大史, 荒田純平, 疑似回転関節により摩擦を排除した柔軟ロボット鉗子機構, 第41回日本ロボット学会学術講演会, 2023.09.
12.	D.S.V. Bandara, Jumpei Arata, Active Range of Motion Measurement System Using an Optical Sensor to Evaluate HandFunctions, EMBC 2023, 2023.07.
13.	山野駿介, 野上大史, D.S.V. Bandara, 荒田純平, 遠隔解剖システムにおける把持力センサ内蔵 2 自由度解剖ツールに関する研究, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
14.	安藤有輝, 野上大史, D.S.V. Bandara, 荒田純平, 国際宇宙ステーションでの運用のための遠隔解剖システムにおけるツールエクスチェンジャに関する研究, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
15.	Chongzaijiao He, D.S.V Bandara, Hirofumi Nogami, Jumpei Arata, Prediction of finger motions based on high-density electromyographic signals using two-dimensional convolutional neural networks, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
16.	松尾一成, D.S.V. Bandara, 野上大史, 荒田純平, ウェアラブルロボットにおける動作意図検出への応用を目指した深層の筋活動を測定する光センサの開発, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
17.	高宮悠一, 野上大史, D.S.V. Bandara, 荒田純平, 手指リハビリテーションロボットのための遠隔動力伝達機構に関する研究, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
18.	青戸一晃, 野上大史, D.S.V. Bandara, 荒田純平, 帯状弾性体を応用した小型・軽量な前腕回内・回外動作支援装置に関する研究, ロボティクス・メカトロニクス講演会 2023 in Nagoya, 2023.06, [URL].
19.	Ren Jiawei, D.S.V Bandara, Jumpei Arata, Introducing superelasticity into Cosserat theory for modeling a compliant surgical manipulator, Asian Conference on Computer Aided Surgery 2023, 2023.05.
20.	D.S.V Bandara, He Chongzaijiao, Jumpei Arata, Motion Intention Estimation of Finger Motions with Spatial Variations of HD EMG Signals, 15th International Conference on Computer and Automation Engineering (ICCAE 2023), 2023.03, [URL], Estimation of motion intention of human hand has many applications in robotics and other human centred areas. Especially with wearable robotic applications biosignal based estimation of human hand motions are widely used. However, based on the construction of the muscles for finger motions, and the higher number of independent motions of the human hand, estimation of finger motions accurately and effectively remains a challenge with current techniques. On the other hand, high density electromyography (HDEMG), has the capability to provide a high resolution spatial activation image of the muscle group under its measurement. In this study HDEMG signals were used to estimate the finger motions, by using the spatial variations of the surface HDEMG signals during the different finger motions. Thus, features of Gabor filters and error- correcting output codes method was used to classify six motion classes of finger motions. Results show the proposed methodology can successfully classify the motions with a higher accuracy..
21.	Yoshinori Furukawa, D. S. V. Bandara, Hirofumi Nogami and Jumpei Arata, Realtime EMG signal processing with OneClassSVM to extract motion intentions for a hand rehabilitation robot, 2023 International Symposium on System Integration (SII2023), 2023.01, [URL], Neurorehabilitation with robot has a potential to improve the motor function of post stroke patients. We are developing a rehabilitation robot to provide hand open and close training for patients. The robot is triggered by upper limb forearm surface electromyography(EMG). However, owing to complex arrangement of the muscle layers and muscle cross talk during the both open and close motions of the hand, traditional classification techniques of motion intention does not perform successfully in its implementation. Further, presence of motion artifacts such as natural supination/pronation, wrist flexion/extension also has become a challenge to overcome in classifying hand open/close and relax states successfully. Thus in this study, we propose a real-time classification method that uses OneClass SVM to extract hand open/close and relax motions and enables to cater for the individual differences of the different users. In the evaluation experiments with 5 different subjects, the proposed method could successfully classify motion intention of hand open/close and relax in the presence of different motion artifacts..
22.	K. Osawa, D.S.V Bandara, R. Nakadate, Y. Nagao, T. Akahoshi, M. Eto, J. Arata, Compliant multi-DOF endoluminal forceps with 2.5 mm in diameter, International Conference of Computer Assisted Radiology and Surgery, 2022.06.
23.	D.S.V Bandara, Jumpei Arata, A study on improvement of kinematic model for a multi DOF robotic forceps based on compliant mechanism , Japanese Society of Computer Aided Surgery, 2022.06.
24.	D.S.V Bandara, Recent Trends in Healthcare Technologies and their Applications, international Conference on Aerospace and Mechanical Engineering, 2021.12.
25.	Wang Heran, D.S.V Bandara, Jumpei Arata, Modeling of hyper-elastic deformation of NiTi in a surgical robotic forceps for MIS, Asian Conference on Computer Aided Surgery, 2021.12.
26.	D.S.V BANDARA, ＃WU Zongpeng, Jumpei ARATA, Modified design of a 2 mm surgical robotic forceps for improved ROM and a longer lifespan, Asian Conference on Computer Aided Surgery, 2020.11.
27.	D.S.V BANDARA, ＃WU Zongpeng, ＃Wataru KAJIHARA, Jumepi ARATA, Novel design to improve the lifespan and range of motion of 3.5 mm surgical manipulator comprises of elastic elements, through stress management, International Conference of Computer Assisted Radiology and Surgery 2020, 2020.06.
28.	＃WU Zongpeng, D.S.V BANDARA, Jumpei ARATA, Design strategy for a surgical manipulator based on a compliant mechanism- rigidity and range of motion: finding the optimized balance, IEEE International Conference on Robotics and Biomimetics, 2019.12.
29.	WU Zongpeng, D.S.V BANDARA, Jumpei ARATA, Design improvement and evaluation of a surgical manipulator that contains largely deformable elements, Asian Conference on Computer Aided Surgery, 2019.11.
30.	Takefumi ISHII, Kanako HARADA, Mamoru MITSUISHI, Sanjaya V. BANDARA, WU Zongpeng, Jumpei ARATA, Fast shape computation for a surgical manipulator that contains largely deformable elements, Asian Conference on Computer Aided Surgery, 2019.11.
31.	Jumpei ARATA, D.S.V. BANDARA, Wataru KAJIHARA, Ryu NAKADATE, Kanako HARADA, Mamoru MITSUISHI, Kazuo KIGUCHI, Makoto HASHIZUME, 2mm surgical manipulator with four degrees-of-freedom for transnasal endoscopy comprising elastic mechanical element, International conference on The International Conference of Computer Assisted Radiology and Surgery, 2019.06.
32.	D.S.V BANDARA, Kazuo KIGUCHI, Brain signal acquisition methods in BCIs to estimate human motion intention – a survey, International Symposium on Micro-Nano Mechatronics and Human Science, 2018.12.
33.	D.S.V BANDARA, Kazuo KIGUCH, Towards controlling of an upper-limb exoskeleton for motion assist with EEG signals – motion prediction, International Conference on Control, Automation and Systems, 2017.10.
34.	R.A.R.C. GOPURA, D.S.V. BANDARA, N.P.A. GUNASEKERA, V.H. HAPUARACHCHI, B.S. ARIYARATHNA, A prosthetic hand with self-adaptive fingers, International Conference on Control Automation and Robotics, 2017.04.
35.	D.S.V BANDARA, J. ARATA, K. KIGUCHI, Task based motion intention prediction with EEG signals, IEEE International Symposium on Robotics and Intelligent Sensors, 2016.12.
36.	D.S.V BANDARA, J. ARATA, K. KIGUCHI, Detecting the motion intention of the humans with EEG signals, JSME International Conference on Advanced Mechatronics, 2015.12.
37.	R.B GAYAN, Y. RAMESHKANNA, R. RATHEESAN, S.I SENEVIRATHNE, K.H MANGALA, D.S.V BANDARA , Process optimization of sri lankan saucepan manufacturing industry by time study analysis, Annual Technical Conference of The Institution of Engineering and Technology, 2015.07.
38.	D.S.V BANDARA, R.A.R.C GOPURA, K.T.M.U HEMAPALA, K. KIGUCHI, A multi-DOF anthropomorphic transradial prosthetic arm, IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014.08.
39.	D.S.V. BANDARA, G. KAJANTHAN, M. BRUNTHAVAN, R.A.R.C. GOPURA, An under-actuated mechanism for finger designs in hand prosthesis, Peradeniya University International Research Sessions, 2014.07.
40.	N.P.A. GUNASEKERA, V.H. HAPUARACHCHI, B.S. ARIYARATHNA, D.S.V. BANDARA, R.A.R.C. GOPURA, Development of a multifunctional hand prosthesis with a self-adaptive mechanism, Peradeniya University International Research Sessions, 2014.07.
41.	D.S.V. BANDARA, R.A.R.C GOPURA, G. KAJANTHAN, M. BRUNTHAVAN,H.I.M.M. ABEYNAYAKE, An under-actuated mechanism for a robotic finger, IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, 2014.06.
42.	G. KAJANTHAN, M. BRUNTHAVAN, D.S.V. BANDARA,R.A.R.C. GOPURA, An under actuated hand prosthesis with grasping adaptation, Mini Engineering Research Unit Symposium, 2013.06.
43.	D.S.V. BANDARA, R.A.R.C GOPURA, G. KAJANTHAN, M. BRUNTHAVAN,H.I.M.M. ABEYNAYAKE , Upper extremity prosthetics: current status, challenges and future directions, International Conference on Artificial Life and Robotics, 2012.01.
44.	＠R. A. R. C. GOPURA, ＠K. KIGUCHI ,＠D. S. V. BANDARA, A brief review on upper extremity robotic exoskeleton systems, International Conference on Industrial and Information Systems, 2011.08.

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