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Cross-comparison of EMG-to-Force methods for Multi-DoF Finger Force Prediction using One-DoF training
2020
IEEE Access
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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
2017
Journal of Neural Engineering
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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
2020
Scientific Data
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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
2017
IEEE transactions on neural systems and rehabilitation engineering
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., 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
2021
Applied Mechanics
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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]
2020
arXiv
pre-print
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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
2015
Biomedical Signal Processing and Control
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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
2012
IEEE transactions on neural systems and rehabilitation engineering
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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
2016
Physics of Life Reviews
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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
2018
IEEE Transactions on Cognitive and Developmental Systems
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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
2018
IEEE Journal of Translational Engineering in Health and Medicine
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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]
2019
bioRxiv
pre-print
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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
2019
Frontiers in Neuroscience
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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
2017
Journal of Sensors
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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
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., +, 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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