A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
[HTML][HTML] Tutorial. Surface EMG detection in space and time: Best practices
R Merletti, S Muceli - Journal of Electromyography and Kinesiology, 2019 - Elsevier
This tutorial is aimed to non-engineers using, or planning to use, surface electromyography
(sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first …
(sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first …
A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Materials and optimized designs for human-machine interfaces via epidermal electronics
Thin, soft, and elastic electronics with physical properties well matched to the epidermis can
be conformally and robustly integrated with the skin. Materials and optimized designs for …
be conformally and robustly integrated with the skin. Materials and optimized designs for …
A review of hand gesture recognition systems based on noninvasive wearable sensors
R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces
A wearable silent speech interface (SSI) is a promising platform that enables verbal
communication without vocalization. The most widely studied methodology for SSI focuses …
communication without vocalization. The most widely studied methodology for SSI focuses …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
Complexity analysis of surface electromyography for assessing the myoelectric manifestation of muscle fatigue: A review
S Rampichini, TM Vieira, P Castiglioni, G Merati - Entropy, 2020 - mdpi.com
The surface electromyography (sEMG) records the electrical activity of muscle fibers during
contraction: one of its uses is to assess changes taking place within muscles in the course of …
contraction: one of its uses is to assess changes taking place within muscles in the course of …
A review of techniques for surface electromyography signal quality analysis
E Farago, D MacIsaac, M Suk… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Electromyography (EMG) signals are instrumental in a variety of applications including
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …
Predicting human intentions in human–robot hand-over tasks through multimodal learning
In human–robot shared manufacturing contexts, product parts or tools hand-over between
the robot and the human is an important collaborative task. Facilitating the robot to figure out …
the robot and the human is an important collaborative task. Facilitating the robot to figure out …