Results 151 to 160 of about 10,000,122 (291)

Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control. [PDF]

IEEE J Transl Eng Health Med, 2020
Gautam A, Panwar M, Wankhede A, Arjunan SP, Naik GR, Acharyya A, Kumar DK.   +6 more
europepmc   +1 more source

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

Advanced 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, Kento Kawaharazuka, Kei Okada   +2 more
wiley   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

Toward more intuitive prosthetic control: structured residual muscle training in transtibial amputees. [PDF]

J Neuroeng Rehabil
Rostamjoud F, Þorkelsdóttir FB, Sverrisson AÖ, Brynjólfsson S, Briem K.   +4 more
europepmc   +1 more source

An Integrated Fabric‐Pneumatic Soft Sensing System for Multi‐Site Muscle Activity Decoding

Advanced Intelligent Systems, EarlyView.
Fabric‐pneumatic chambers convert muscle deformation into pressure signals without electronics at the body‐contact sensing interface. A unified processing pipeline enables static posture classification, continuous elbow‐angle estimation, forearm gesture recognition, and knee‐movement detection across three anatomical sites.
Qifeng Xun, Jonathan William Ambrose, Quan Xiong, Chen Hua Yeow   +3 more
wiley   +1 more source

A multimodal multi-label deep learning framework with temporal attention for detection of upper-limb motor activities for prosthetic control. [PDF]

Sci Rep
Joshi DC, Joshi RC, Kumar P, Mitra S.
europepmc   +1 more source

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

Advanced 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

Comparing implantable epimysial and intramuscular electrodes for prosthetic control. [PDF]

Front Neurosci
Earley EJ, Kristoffersen MB, Ortiz-Catalan M.   +2 more
europepmc   +1 more source

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

Advanced 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, Xiaoyang Hu, Jianhua Li, Fang Wang, Xue Zhang, Lihai Zhang   +5 more
wiley   +1 more source

Gaze strategy and sense of ownership in learning prosthetic control: a comparative study using wearable eye tracking. [PDF]

J Neuroeng Rehabil
Yoshimura M, Kurumadani H, Date S, Hirata J, Ito T, Senoo K, Hanayama K, Sunagawa T.   +7 more
europepmc   +1 more source