Results 121 to 130 of about 1,538,714 (293)

Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback

open access: yesAdvanced Intelligent Systems, EarlyView.
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim   +4 more
wiley   +1 more source

Moving approximate entropy and its application to the electromyographic control of an artificial hand

open access: yes, 2009
A multiple-degree-of-freedom artificial hand has been developed at the University of Southampton with the aim of including control philosophies to form a highly functional prosthesis hand.
Ahmad, Siti Anom
core   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al   +3 more
wiley   +1 more source

Accelerating Musculoskeletal Robotics Through Parametric Design and 3D‐Printed Flexible Structures

open access: yesAdvanced Intelligent Systems, EarlyView.
Parametric design and flexible 3D printing create muscle‐, tendon‐, ligament‐, and cushion‐like robotic elements from a single thermoplastic polyurethane material. Tuning lattice patterns adjusts regional mechanical properties and enables coordinated multijoint motions in a life‐sized musculoskeletal leg under external suspension, with partial body ...
Shunnosuke Yoshimura   +2 more
wiley   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

open access: yesAdvanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

The Key Technologies and Technological Evolution Mechanisms of Robotic Systems for Fracture Reduction Surgery

open access: yesAdvanced Intelligent Systems, EarlyView.
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang   +5 more
wiley   +1 more source

Prosthesis-socket volume imbalance and dermofat graft rehabilitation in patients with an anophthalmic socket

open access: yes, 2019
Purposes: To identify problems caused by prosthesis-socket volume imbalances in anophthalmic sockets; and to evaluate rehabilitation with dermofat graft as a solution.
Murat Karapapak (7395707)   +8 more
core   +1 more source

A Novel Splice Variant in ERGIC1 Causes Arthrogryposis Multiplex Congenita—Characterization Using Urine‐Derived Cells

open access: yesAmerican Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis multiplex congenita (AMC) is defined as the presence of joint contractures affecting at least two body regions at birth. Three different ERGIC1 variants have been reported in individuals with AMC. Here, we report on a 16‐year‐old male with a homozygous ERGIC1 c.250+1G>A variant that was classified as a variant of uncertain ...
Lauren Kerr   +7 more
wiley   +1 more source

Robust Local Cluster Neural Networks (ESANN) [PDF]

open access: yes, 2006
Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf   +3 more
core  

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