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Cross-comparison of EMG-to-Force methods for Multi-DoF Finger Force Prediction using One-DoF training

Yuyang Chen, Chenyun Dai, Wei Chen
2020 IEEE Access  
issues for the estimation of EMG-force during multiple finger contractions.  ...  However, due to the severe cross-talk issue of sEMG signals during fine hand contractions, few studies have related sEMG to multiple degree-of-freedom (DoF) force prediction of individual fingers simultanously  ...  For example, in the prediction of index finger, the first one-third time period is for the contraction of Index finger.  ... 
doi:10.1109/access.2020.2966007 fatcat:726weuxe4zfs5noectc6bzosxe

A hybrid BMI-based exoskeleton for paresis: EMG control for assisting arm movements

Toshihiro Kawase, Takeshi Sakurada, Yasuharu Koike, Kenji Kansaku
2017 Journal of Neural Engineering  
As demands in myoelectric control trend toward simultaneous multifunctional control, multi-muscle coordinations, or synergies, play larger roles in the success of the control scheme.  ...  This article reviews the role of muscle synergies in myoelectric control schemes by dissecting each component of the scheme with respect to associated challenges for achieving robust simultaneous control  ...  For example, Khokhar et al [131] use multi-class SVM using oneversus-one for 19 classes representing contraction levels for 2-DOF.  ... 
doi:10.1088/1741-2552/aa525f pmid:28068293 fatcat:p6wtketyefgszlrnfahlkjxoaa

A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions

Nebojsa Malesevic, Anders Björkman, Gert S. Andersson, Ana Matran-Fernandez, Luca Citi, Christian Cipriani, Christian Antfolk
2020 Scientific Data  
The recorded data can be used to develop and test algorithms for control of a prosthetic hand. Assessment of the signals was done in both quantitative and qualitative manners.  ...  In this study, we present a database of intramuscular EMG signals recorded with fine-wire electrodes alongside recordings of hand forces in an isometric setup and with the addition of spike-sorted metadata  ...  acknowledgements The authors would like to thank MD Elena Aksyuk from The Department of Radiology, Skåne University Hospital, Lund, Sweden for performing ultrasound of the forearm to verify the position  ... 
doi:10.1038/s41597-019-0335-8 pmid:31913289 fatcat:7m2g2watp5fdzkrn3riajzxhw4

Gaussian Process Autoregression for Simultaneous Proportional Multi-Modal Prosthetic Control With Natural Hand Kinematics

Michele Xiloyannis, Constantinos Gavriel, Andreas A. C. Thomik, A. Aldo Faisal
2017 IEEE transactions on neural systems and rehabilitation engineering  
., grasping) and isometric force tasks (e.g., squeezing).  ...  instantaneous muscle activity to predict future hand movements.  ...  ACKNOWLEDGMENT The authors would like to acknowledge an anonymous reviewer, Charalambos Konnaris and Giuseppe Zito for helpful comments on the manuscript.  ... 
doi:10.1109/tnsre.2017.2699598 pmid:28880183 fatcat:oaququjuybhqdokmapmo24vhti

Soft Robotic Hands and Tactile Sensors for Underwater Robotics

Rafsan Al Shafatul Islam Subad, Liam B. Cross, Kihan Park
2021 Applied Mechanics  
In this paper, we represent a review of the history, development, recent research endeavors, and projected outlook for the area of soft robotics technology pertaining to its use with tactile sensing in  ...  Research in the field of underwater (UW) robotic applications is rapidly developing.  ...  The hand is equipped with a finger-tip suction method for underwater mobile manipulation.  ... 
doi:10.3390/applmech2020021 fatcat:kmctjxtvtfegtoknf2tfwiqmfu

Design, Implementation and Control of an Underactuated Hand Exoskeleton [article]

Mine Sarac Stroppa
2020 arXiv   pre-print
I present the design, implementation and control of a novel, linkage-based, underactuated hand exoskeleton aimed to assist patients with hand disabilities during grasping tasks for robot assisted physical  ...  Even though the proposed exoskeleton was designed with the purpose of assisting users during interactions with real objects around them, its use can be extended for haptic applications as well.  ...  to design multi-DoF mechanisms is to control each finger joint individually with 2 DoF [80, 96, 116], 3 DoF [65, 102] or 4 DoF [35, 99, 104] mobility.  ... 
arXiv:2003.11598v1 fatcat:zkm4hhmzjrdoxgu56oalzkjo7i

Current state of digital signal processing in myoelectric interfaces and related applications

Maria Hakonen, Harri Piitulainen, Arto Visala
2015 Biomedical Signal Processing and Control  
Recommendations are given, for example, for electrode placement, sampling rate, segmentation, and classifiers.  ...  The state-of-the-art applications in each of these groups are presented.  ...  Acknowledgements This study has been supported by the Foundation for Aalto University Science and Technology (Celebratory gifts' fund to Maria Hakonen), the Academy of Finland (grant #13266133 to Harri  ... 
doi:10.1016/j.bspc.2015.02.009 fatcat:jwb2vtickzberkhrtawhwocis4

Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review

A. Fougner, O. Stavdahl, P. J. Kyberd, Y. G. Losier, P. A. Parker
2012 IEEE transactions on neural systems and rehabilitation engineering  
The recent introduction of novel multifunction hands as well as new control paradigms increase the demand for advanced prosthetic control systems.  ...  The review revealed that the methods for system training have not matured at the same pace as the novel multifunction prostheses and more advanced intent interpretation methods.  ...  This method has been used by Simon [49] for multiple DOFs, training each DOF separately.  ... 
doi:10.1109/tnsre.2012.2196711 pmid:22665514 fatcat:z6ledib5bjfe7easmfzoacz6ji

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

Marco Santello, Matteo Bianchi, Marco Gabiccini, Emiliano Ricciardi, Gionata Salvietti, Domenico Prattichizzo, Marc Ernst, Alessandro Moscatelli, Henrik Jörntell, Astrid M.L. Kappers, Kostas Kyriakopoulos, Alin Albu-Schäffer (+2 others)
2016 Physics of Life Reviews  
and new research approaches for neuroscience.  ...  The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human  ...  These findings offer a novel perspective for the control of prosthetic devices with multi-DOFs.  ... 
doi:10.1016/j.plrev.2016.02.001 pmid:26923030 pmcid:PMC5839666 fatcat:uu6cf7mc6ngvfpivx3qlk2iyda

Multimodal Human Hand Motion Sensing and Analysis -A Review

Yaxu Xue, Zhaojie Ju, Kui Xiang, Jing Chen, Honghai Liu
2018 IEEE Transactions on Cognitive and Developmental Systems  
for hand motion sensing, including contact-based and non-contact-based approaches, are discussed with comparisons with their pros and cons; then, the state-of-theart analysis methods are introduced, with  ...  a particular focus on the multimodal hand motion sensing and analysis; finally, cuttingedge applications of hand motion analysis are reviewed, with further discussion on facing challenges and new future  ...  There are three key techniques for multi-fingered robot manipulation learning, that is, the optimal grasp planning, grasp force planning and multi-fingered control [118] .  ... 
doi:10.1109/tcds.2018.2800167 fatcat:ojznwvn3gzg7rgnfq7yg3wf4jm

An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject

Enzo Mastinu, Johan Ahlberg, Eva Lendaro, Liselotte Hermansson, Bo Hakansson, Max Ortiz-Catalan
2018 IEEE Journal of Translational Engineering in Health and Medicine  
multi-functional prosthetic control.  ...  The system was used for five days by a unilateral dysmelia subject whose hand had never developed, and who nevertheless learned to generate patterns of myoelectric activity, reported as intuitive, for  ...  They would also like to thank Anita Stockselius for helping with the ACMC tests and analyses.  ... 
doi:10.1109/jtehm.2018.2811458 pmid:29637030 pmcid:PMC5881457 fatcat:jls6wpwcbzfiveizir27qhv6o4

Effect of motor learning on prosthetic finger control with an intuitive myoelectric decoder [article]

Agamemnon Krasoulis, Sethu Vijayakumar, Kianoush Nazarpour
2019 bioRxiv   pre-print
We investigate motor learning aspects of independent finger position control by conducting real-time experiments with 10 able-bodied and two transradial amputee subjects.  ...  lack of proprioception.  ...  Acknowledgments The authors are grateful to the two amputee volunteers for taking part in the study. The authors would like to thank Matthew Dyson for useful discussion.  ... 
doi:10.1101/585703 fatcat:bfek5c6t6nboflo2g3ry4axnam

Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder

Agamemnon Krasoulis, Sethu Vijayakumar, Kianoush Nazarpour
2019 Frontiers in Neuroscience  
We investigate the effect of short-term adaptation with independent finger position control by conducting real-time experiments with 10 able-bodied and two transradial amputee subjects.  ...  lack of proprioception.  ...  FUNDING ACKNOWLEDGMENTS The authors are grateful to the two amputee volunteers for taking part in the study. The authors would like to thank Matthew Dyson for useful discussion.  ... 
doi:10.3389/fnins.2019.00891 pmid:31551674 pmcid:PMC6747011 fatcat:5kco6xtq7fgr5jhb2mswrr2ami

Generating Human-Like Velocity-Adapted Jumping Gait from sEMG Signals for Bionic Leg's Control

Weiwei Yu, Weihua Ma, Yangyang Feng, Runxiao Wang, Kurosh Madani, Christophe Sabourin
2017 Journal of Sensors  
The method discussed in this paper provides a valuable reference for the sEMG-based control of bionic robot leg to generate human-like dynamic gait.  ...  From the experimental results, the proposed method shows good performance both in accuracy and in robustness for producing velocity-adapted vertical jumping gait.  ...  The envelopes of sEMG signals after preprocessing for seven channels are listed in Figure 5 , which can be used for joint motion prediction.  ... 
doi:10.1155/2017/7360953 fatcat:6sa3vqntz5bl3cvqjzkr2wcpdq

2020 Index IEEE Robotics and Automation Letters Vol. 5

2020 IEEE Robotics and Automation Letters  
., +, LRA Oct. 2020 5661-5668 Group Split and Merge Prediction With 3D Convolutional Networks.  ...  ., +, LRA April 2020 3596-3603 Group Split and Merge Prediction With 3D Convolutional Networks.  ... 
doi:10.1109/lra.2020.3032821 fatcat:qrnouccm7jb47ipq6w3erf3cja
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