Results 171 to 180 of about 19,737 (228)

Development of a Wearable Sensor Platform for Fall Risk Assessment and Fall Detection. [PDF]

Sensors (Basel)
Imperato A, Caporaso M, Pascalis V, Di Gironimo G, Lanzotti A, Grazioso S, Palomba A, Caporaso T.   +7 more
europepmc   +1 more source

Multi-Source Motion Inputs and FA-TA-BiLSTM for Lower-Limb Joint Angle Prediction. [PDF]

Sensors (Basel)
Yang C, Zhao P, Guo Y, Han X, Gao X, Deng J.   +5 more
europepmc   +1 more source

Two-Stage Meta-Learning with Matched Feature Regularization for Cross-Subject sEMG Gesture Recognition Under Posture Variation. [PDF]

Sensors (Basel)
Li Q, He Y, Zhang A.
europepmc   +1 more source

A Co-Located sEMG-pFMG Dataset for Hand Gesture Recognition Under Varying Arm-Position Conditions. [PDF]

Sensors (Basel)
Zhang S, Zhou H, Tchantchane R, Alici G.
europepmc   +1 more source

Characterizing Submental Neuromuscular Activity of Swallowing Rehabilitation: An Electromyographic Evaluation of Rehabilitative Maneuvers in Healthy Adults. [PDF]

J Speech Lang Hear Res
Peng CH, Griffis MR, Rusco A, Berry KL, Pearson WG, Craig BA, Malandraki GA.   +6 more
europepmc   +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 0002   +5 more
openaire   +1 more source

A Wireless sEMG Recording System and Its Application to Muscle Fatigue Detection

Sensors, 2012
[[abstract]]Surface electromyography (sEMG) is an important measurement for monitoring exercise and fitness. Because if its high sampling frequency requirement, wireless transmission of sEMG data is a challenge.
Kang-Ming Chang
exaly   +1 more source

Analysis of the sEMG/Force Relationship Using HD-sEMG Technique and Data Fusion: A Simulation Study

Computers in Biology and Medicine, 2017
The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts.
Frédéric Marin, Sofiane Boudaoud, Jeremy Laforet   +2 more
exaly   +4 more sources