A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

L Bi, C Guan - Biomedical Signal Processing and Control, 2019 - Elsevier
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 …

[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 …

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 …

Materials and optimized designs for human-machine interfaces via epidermal electronics

JW Jeong, WH Yeo, A Akhtar, JJS Norton, YJ Kwack… - Advanced Materials, 2013 - osti.gov
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 …

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 …

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

T Kim, Y Shin, K Kang, K Kim, G Kim, Y Byeon… - Nature …, 2022 - nature.com
A wearable silent speech interface (SSI) is a promising platform that enables verbal
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

A Saboor, T Kask, A Kuusik, MM Alam… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

Predicting human intentions in human–robot hand-over tasks through multimodal learning

W Wang, R Li, Y Chen, Y Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …