Results 41 to 50 of about 9,497 (203)
Scientific Reports, 2022 We quantified the relationship between spatial oscillations in surface electromyographic (sEMG) activity and trunk-extension torque in individuals with and without chronic low back pain (CLBP), during two submaximal isometric lumbar extension tasks at 20%
Michail Arvanitidis +4 more
doaj +1 more source
Advanced Science, EarlyView.An AI‐enabled digital twin framework integrates wearable EMG sensing with hierarchical multi‐domain fusion to classify chronic ankle instability, distinguish clinically relevant subtypes, and generate continuous motor function scores. Clinically interpretable functional stratification and SHAP‐based biomarker analysis provide transparent decision ...
Tianle Jie +12 more
wiley +1 more source
Quantification of Extent of Muscle-skin Shifting by Traversal sEMG Analysis Using High-density sEMG Sensor [PDF]
2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019 Surface electromyography(sEMG) measurement has been an essential approach to analyze human behaviors because we can generally consider that sEMG signals represent the muscle activities as the final output of our nerve system. One of the most serious problems for considering sEMG signal as the muscle activity is the shift of the relative position ...
Shotaro Okajima +6 more
openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Frontiers in Neurology, 2020 Surface electromyography (sEMG) is a non-invasive method, which may be used in France by health practitioners without medical degree, such as physiotherapists, who are taught in Institutes of physiotherapy.
Pierre Portero +4 more
doaj +1 more source
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 +3 more
wiley +1 more source
Low-cost active electromyography
HardwareX, 2019 Electromyography (sEMG) is the technique applied to measure the bio-potential signal produced by a contracting skeletal muscle. sEMG has been used for subject intention estimation, force estimation, limb angle estimation and determining muscle activation
Benjamin C. Fortune +4 more
doaj +1 more source
Automatic discrimination of laughter using distributed sEMG [PDF]
2015 International Conference on Affective Computing and Intelligent Interaction (ACII), 2015 Laughter is a very interesting non-verbal human vocalization. It is classified as a semi voluntary behavior despite being a direct form of social interaction, and can be elicited by a variety of very different stimuli, both cognitive and physical. Automatic laughter detection, analysis and classification will boost progress in affective computing ...
Sarah Cosentino +5 more
openaire +2 more sources