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 …
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
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 …
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
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 …
long-standing challenge. Even the most advanced hand prostheses, which have several …
Biomimetic versus arbitrary motor control strategies for bionic hand skill learning
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 …
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
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 …
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
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 …
of the mapping it creates between muscle co-activation patterns and prosthesis movements …
Learning, generalization, and scalability of abstract myoelectric control
Motor learning-based methods offer an alternative paradigm to machine learning-based
methods for controlling upper-limb prosthetics. Within this paradigm, the patterns of …
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 …
learners problem, where both the human and the interface independently adapt their …
Internet of Things for beyond-the-laboratory prosthetics research
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 …
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
Recent research has advanced two degree-of-freedom (DoF), simultaneous, independent
and proportional control of hand-wrist prostheses using surface electromyogram signals …
and proportional control of hand-wrist prostheses using surface electromyogram signals …