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Published in 2020 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ab673f
Abstract: OBJECTIVE Understanding the neurophysiological signals underlying voluntary motor control and decoding them for prosthesis control are among the major challenges in applied neuroscience and bioengineering. Usually, information from the electrical activity of residual forearm muscles…
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Keywords:
grasp force;
information;
estimation;
emg ... See more keywords
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1
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3137554
Abstract: Despite recent advances in modern surgical robotic systems, an ongoing challenge remains their limited ability to control grasp force. This can impair surgical performance as a result of either tissue slippage or trauma from excessive…
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Keywords:
automation;
slip;
grasp force;
control ... See more keywords
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1
Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0247883
Abstract: Grasp force estimation based on surface electromyography (sEMG) is essential for the dexterous control of a prosthetic hand. Nowadays, although increasing the number of sEMG measurement positions and extracting more features are common methods to…
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Keywords:
grasp force;
measurement positions;
force;
force estimation ... See more keywords
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1
Published in 2023 at "Micromachines"
DOI: 10.3390/mi14030596
Abstract: The following research proposes a closed loop force control system, which is implemented on a soft robotic prosthetic hand. The proposed system uses a force sensing approach that does not require any sensing elements to…
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Keywords:
force sensing;
soft robotic;
grasp force;
test object ... See more keywords