A review of sensory feedback in upper-limb prostheses from the perspective of human motor control

JW Sensinger, S Dosen - Frontiers in neuroscience, 2020 - frontiersin.org
This manuscript reviews historical and recent studies that focus on supplementary sensory
feedback for use in upper limb prostheses. It shows that the inability of many studies to …

Current solutions and future trends for robotic prosthetic hands

V Mendez, F Iberite, S Shokur… - Annual Review of Control …, 2021 - annualreviews.org
The desire for functional replacement of a missing hand is an ancient one. Historically,
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …

The Hannes hand prosthesis replicates the key biological properties of the human hand

M Laffranchi, N Boccardo, S Traverso, L Lombardi… - Science robotics, 2020 - science.org
Replacing the human hand with artificial devices of equal capability and effectiveness is a
long-standing challenge. Even the most advanced hand prostheses, which have several …

Biomimetic versus arbitrary motor control strategies for bionic hand skill learning

HR Schone, M Udeozor, M Moninghoff… - Nature human …, 2024 - nature.com
A long-standing engineering ambition has been to design anthropomorphic bionic limbs:
devices that look like and are controlled in the same way as the biological body …

Arduino-based myoelectric control: towards longitudinal study of prosthesis use

H Wu, M Dyson, K Nazarpour - Sensors, 2021 - mdpi.com
Understanding how upper-limb prostheses are used in daily life helps to improve the design
and robustness of prosthesis control algorithms and prosthetic components. However, only a …

Effect of user practice on prosthetic finger control with an intuitive myoelectric decoder

A Krasoulis, S Vijayakumar, K Nazarpour - Frontiers in neuroscience, 2019 - frontiersin.org
Machine learning-based myoelectric control is regarded as an intuitive paradigm, because
of the mapping it creates between muscle co-activation patterns and prosthesis movements …

Learning, generalization, and scalability of abstract myoelectric control

M Dyson, S Dupan, H Jones… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Motor learning-based methods offer an alternative paradigm to machine learning-based
methods for controlling upper-limb prosthetics. Within this paradigm, the patterns of …

A framework for optimizing co-adaptation in body-machine interfaces

D De Santis - Frontiers in Neurorobotics, 2021 - frontiersin.org
The operation of a human-machine interface is increasingly often referred to as a two-
learners problem, where both the human and the interface independently adapt their …

Internet of Things for beyond-the-laboratory prosthetics research

H Wu, M Dyson, K Nazarpour - … Transactions of the …, 2022 - royalsocietypublishing.org
Research on upper-limb prostheses is typically laboratory-based. Evidence indicates that
research has not yet led to prostheses that meet user needs. Inefficient communication loops …

Myoelectric control performance of two degree of freedom hand-wrist prosthesis by able-bodied and limb-absent subjects

Z Zhu, J Li, WJ Boyd, C Martinez-Luna… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Recent research has advanced two degree-of-freedom (DoF), simultaneous, independent
and proportional control of hand-wrist prostheses using surface electromyogram signals …