Hand Prosthesis Sensorimotor Control Inspired by the Human Somatosensory System
Prosthetic hand systems aim at restoring lost functionality in amputees. Manipulation and
grasping are the main functions of the human hand, which are provided by skin sensitivity …
grasping are the main functions of the human hand, which are provided by skin sensitivity …
A novel method for vibrotactile proprioceptive feedback using spatial encoding and Gaussian interpolation
Objective: The bidirectional communication between the user and the prosthesis is an
important requirement when developing prosthetic hands. Proprioceptive feedback is …
important requirement when developing prosthetic hands. Proprioceptive feedback is …
The need to work arm in arm: calling for collaboration in delivering neuroprosthetic limb replacements
Over the last few decades there has been a push to enhance the use of advanced
prosthetics within the fields of biomedical engineering, neuroscience, and surgery. Through …
prosthetics within the fields of biomedical engineering, neuroscience, and surgery. Through …
Object stiffness recognition and vibratory feedback without ad-hoc sensing on the Hannes prosthesis: A machine learning approach
Introduction In recent years, hand prostheses achieved relevant improvements in term of
both motor and functional recovery. However, the rate of devices abandonment, also due to …
both motor and functional recovery. However, the rate of devices abandonment, also due to …
Temporal and spatial characteristics of bone conduction as non-invasive haptic sensory feedback for upper-limb prosthesis
Bone conduction is a promising haptic feedback modality for upper-limb prosthesis users,
however, its potential and characteristics as a non-invasive feedback modality have not …
however, its potential and characteristics as a non-invasive feedback modality have not …
Users' and therapists' perspectives on the design of extended reality environments to train prosthesis control: A narrative review and focus group
SG Rozevink, A Murgia, RM Bongers… - Technology and …, 2025 - journals.sagepub.com
Background Extended reality (XR) has previously been used to train control of upper limb
prostheses. It is however unclear what characteristics an XR environment should have in …
prostheses. It is however unclear what characteristics an XR environment should have in …
[HTML][HTML] Sensory Feedback of Grasp Security by Direct Neural Stimulation Improves Amputee Prediction of Object Slip
Background: Prostheses are becoming more advanced and biomimetic with time, providing
additional capabilities to their users. However, prosthetic sensation lags far behind its …
additional capabilities to their users. However, prosthetic sensation lags far behind its …
Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength
X Zhang, Z Lu, C Fan, Y Wang, T Zhang, H Li… - Frontiers in …, 2022 - frontiersin.org
This study aimed to highlight the demand for upper limb compound motion decoding to
provide a more diversified and flexible operation for the electromyographic hand. In total, 60 …
provide a more diversified and flexible operation for the electromyographic hand. In total, 60 …
Performance assessment of thermal sensors for hand prostheses
E Stefanelli, M Sperduti, F Cordella… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Amputees using prostheses have a loss of somatosensory functions that should be restored
to ensure a more stable grasp, slippage prevention, and protection from unbearable stimuli …
to ensure a more stable grasp, slippage prevention, and protection from unbearable stimuli …
On the efficiency of haptic based object identification: Determining where to grasp to get the most distinguishing information
Haptic perception is one of the key modalities in obtaining physical information of objects
and in object identification. Most existing literature focused on improving the accuracy of …
and in object identification. Most existing literature focused on improving the accuracy of …