Results 61 to 70 of about 39,692 (260)

MLP ve SVM Makine Öğrenme Modelleri Kullanarak Robotik El Kontrolü

Gazi Üniversitesi Fen Bilimleri Dergisi
Biyolojik sinyallere dayalı robotik el kontrol sistemleri hareket analizinin doğruluğunu, sağlamlığını ve doğallığını iyileştirmeyi amaçlamaktadır. Makalede parmak hareketlerinin sınıflandırılmasını ve öznitelik değişkenlerini kullanarak hareket tahmini ...
İsmail Mersinkaya , Ahmet Reşit Kavsaoğlu, Kerim Özkara   +2 more
doaj   +1 more source

Fatiguing Effects of Indirect Vibration Stimulation in Upper Limb Muscles- pre, post and during Isometric Contractions Superimposed on Upper Limb Vibration [PDF]

, 2019
© 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ , which permits unrestricted use, provided the original author and source are credited.Whole-body ...
Cardinale, Marco, Neilson, Richard D., Pujari, Amit N.   +2 more
core   +3 more sources

Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches

IEEE transactions on neural systems and rehabilitation engineering
Upper limb functional impairments persisting after stroke significantly affect patients’ quality of life. Precise adjustment of robotic assistance levels based on patients’ motion intentions using sEMG signals is crucial for active rehabilitation.
Zijun Wei, Zhiqiang Zhang, S. Xie
semanticscholar   +1 more source

Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions

IEEE transactions on neural systems and rehabilitation engineering, 2022
Sensorimotor integration is the process through which the human brain plans the motor program execution according to external sources. Within this context, corticomuscular and corticokinematic coherence analyses are common methods to investigate the ...
G. Cerone, A. Giangrande, M. Ghislieri, M. Gazzoni, H. Piitulainen, A. Botter   +5 more
semanticscholar   +1 more source

Multi-user motion recognition using sEMG via discriminative canonical correlation analysis and adaptive dimensionality reduction

Frontiers in Neurorobotics, 2022
The inability of new users to adapt quickly to the surface electromyography (sEMG) interface has greatly hindered the development of sEMG in the field of rehabilitation. This is due mainly to the large differences in sEMG signals produced by muscles when
Jinqiang Wang, Dianguo Cao, Yang Li, Jiashuai Wang, Yuqiang Wu   +4 more
doaj   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques

Signals
The development of robust circuit structures remains a pivotal milestone in electronic device research. This article proposes an integrated hardware–software system designed for the acquisition, processing, and analysis of surface electromyographic (sEMG)
F. Laganá, Danilo Pratticò, G. Angiulli, G. Oliva, S. Pullano, M. Versaci, Fabio La Foresta   +6 more
semanticscholar   +1 more source

Enhancing IoT Security via Cancelable HD-sEMG-Based Biometric Authentication Password, Encoded by Gesture

IEEE Internet of Things Journal, 2021
Enhancing information security via reliable user authentication in wireless body area network (WBAN)-based Internet-of-Things (IoT) applications has attracted increasing attention.
Xinyu Jiang, Xiangyu Liu, Jiahao Fan, Xinming Ye, C. Dai, E. Clancy, D. Farina, Wei Chen   +7 more
semanticscholar   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition

IEEE Sensors Journal, 2021
Classification and analysis of surface EMG (sEMG) signals have been of particular interest due to their numerous applications in the biomedical field. They can be used for the diagnosis of neuromuscular diseases, kinesiological studies, and human-machine
Ankit Vijayvargiya, Vishu Gupta, Rajesh Kumar, N. Dey, J. Tavares   +4 more
semanticscholar   +1 more source