Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Grasp quality measures: review and performance

MA Roa, R Suárez - Autonomous robots, 2015 - Springer
The correct grasp of objects is a key aspect for the right fulfillment of a given task. Obtaining
a good grasp requires algorithms to automatically determine proper contact points on the …

Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands

M Atzori, M Cognolato, H Müller - Frontiers in neurorobotics, 2016 - frontiersin.org
Natural control methods based on surface electromyography (sEMG) and pattern
recognition are promising for hand prosthetics. However, the control robustness offered by …

The grasp taxonomy of human grasp types

T Feix, J Romero, HB Schmiedmayer… - … on human-machine …, 2015 - ieeexplore.ieee.org
In this paper, we analyze and compare existing human grasp taxonomies and synthesize
them into a single new taxonomy (dubbed “The GRASP Taxonomy” after the GRASP project …

Electromyography data for non-invasive naturally-controlled robotic hand prostheses

M Atzori, A Gijsberts, C Castellini, B Caputo… - Scientific data, 2014 - nature.com
Recent advances in rehabilitation robotics suggest that it may be possible for hand-
amputated subjects to recover at least a significant part of the lost hand functionality. The …

A novel type of compliant and underactuated robotic hand for dexterous gras**

R Deimel, O Brock - The International Journal of Robotics …, 2016 - journals.sagepub.com
The usefulness and versatility of a robotic end-effector depends on the diversity of grasps it
can accomplish and also on the complexity of the control methods required to achieve them …

A bioinspired soft robotic gripper for adaptable and effective gras**

M Manti, T Hassan, G Passetti, N D'Elia, C Laschi… - Soft …, 2015 - liebertpub.com
The present article shows the development of a gripper for general purposes with gras**
and holding capabilities enabled by a simple control scheme. This objective has been …

Toward robotic manipulation

MT Mason - Annual Review of Control, Robotics, and …, 2018 - annualreviews.org
This article surveys manipulation, including both biological and robotic manipulation.
Biology inspires robotics and demonstrates aspects of manipulation that are far in the future …

Characterization of a benchmark database for myoelectric movement classification

M Atzori, A Gijsberts, I Kuzborskij… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we characterize the Ninapro database and its use as a benchmark for hand
prosthesis evaluation. The database is a publicly available resource that aims to support …

Multi-segment soft robotic fingers enable robust precision gras**

CB Teeple, TN Koutros, MA Graule… - … International Journal of …, 2020 - journals.sagepub.com
In this work, we discuss the design of soft robotic fingers for robust precision gras**.
Through a conceptual analysis of the finger shape and compliance during gras**, we …