Results 201 to 210 of about 37,674 (252)

A Feasibility Study to Determine Whether Neuromuscular Adaptations to Equine Water Treadmill Exercise Can Be Detected Using Synchronous Surface Electromyography and Kinematic Data. [PDF]

Animals (Basel)
St George L, Nankervis K, Walker V, Maddock C, Robinson A, Sinclair J, Hobbs SJ.   +6 more
europepmc   +1 more source

Finger joint angle and gesture estimation under natural conditions with a soft printed electrode array. [PDF]

APL Bioeng
Luxembourg N, Marew RF, Teitelbaum D, Ben-Dov D, Siegelmann H, Hanein Y.   +5 more
europepmc   +1 more source

SEMG INVESTIGA: PRESENTE Y FUTURO

, 2012
openaire   +1 more source

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HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG

Knowledge and Information Systems, 2021
In the past decade, human activity recognition (HAR) has grown in popularity due to its applications in security and entertainment. As recent years have witnessed the emergence of health care and exoskeleton robotics which make use of wearable suits, human–machine interaction based on action recognition performs an important role in multimedia ...
Yu Luan, Yuhang Shi, Wanyin Wu, Zhiyao Liu, Hai Chang, Jun Cheng   +5 more
openaire   +1 more source

A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction

IEEE Transactions on Instrumentation and Measurement, 2023
As a unique physiological electrical signal in the human body, surface electromyography (sEMG) signals always include human movement intention and muscle state. Through the collection of sEMG signals, different gestures can be effectively recognized.
Yanhong Liu, Xingyu Li, Lei Yang, Gui-bin Bian, Hongnian Yu   +4 more
semanticscholar   +1 more source

A Task Performance-Based sEMG-Driven Variable Stiffness Control Strategy for Upper Limb Bilateral Rehabilitation System

IEEE/ASME transactions on mechatronics, 2023
Bilateral rehabilitation robotics can allow hemiplegia patients to regain the cooperative capabilities of both arms by synchronized coordination movements.
Ziyi Yang, Shuxiang Guo, Yi Liu, M. Kawanishi, H. Hirata   +4 more
semanticscholar   +1 more source

Subject-Independent Continuous Estimation of sEMG-Based Joint Angles Using Both Multisource Domain Adaptation and BP Neural Network

IEEE Transactions on Instrumentation and Measurement, 2023
Continuous angle estimation from surface electromyography (sEMG) is crucial for robot-assisted upper limb rehabilitation. The sEMG-based control provides an optimal way to achieve harmonic interactions between subjects and upper limb rehabilitation ...
Hengrui Li, Shuxiang Guo, Hanze Wang, Dongdong Bu   +3 more
semanticscholar   +1 more source

sEMG-Based End-to-End Continues Prediction of Human Knee Joint Angles Using the Tightly Coupled Convolutional Transformer Model

IEEE journal of biomedical and health informatics, 2023
Wearable exoskeleton robots can promote the rehabilitation of patients with physical dysfunction. And improving human-computer interaction performance is a significant challenge for exoskeleton robots.
Tuanjie Liang, Ning Sun, Qiong Wang, Jingyu Bu, Long Li, Yuhao Chen, Menglin Cao, Jin Ma, Tian Liu   +8 more
semanticscholar   +1 more source

sEMG and IMU Data-Based Hand Gesture Recognition Method Using Multistream CNN With a Fine-Tuning Transfer Framework

IEEE Sensors Journal, 2023
Interfaces based on surface electromyography (sEMG) and inertial measurement units (IMUs) enable users to interact with computers in a natural and intuitive way through hand gestures.
Guiyin Li, Bo Wan, Kejia Su, Jiwang Huo, Changhua Jiang, Fei Wang   +5 more
semanticscholar   +1 more source

SEMG Evaluations: An Overview

Applied Psychophysiology and Biofeedback, 2003
This article reviews the current techniques of surface electromyography (SEMG) assessment. Discussed are static, dynamic, and combination assessment techniques and the rational for their use.
Stuart, Donaldson, Mary, Donaldson, Leslie, Snelling   +2 more
openaire   +2 more sources