Results 11 to 20 of about 39,692 (260)
Review of sEMG for Robot Control: Techniques and Applications
Applied Sciences (Switzerland), 2023 Surface electromyography (sEMG) is a promising technology that can capture muscle activation signals to control robots through novel human–machine interfaces (HMIs).
Tao Song, Zhe Yan, Xianhua Li
exaly +4 more sources
Simultaneously encoding movement and sEMG-based stiffness for robotic skill learning [PDF]
IEEE Transactions on Industrial Informatics, 2021 Transferring human stiffness regulation strategies to robots enables them to effectively and efficiently acquire adaptive impedance control policies to deal with uncertainties during the accomplishment of physical contact tasks in an unstructured ...
Cheng, Hong +4 more
core +2 more sources
Reliability and Validity of Ankle Muscle Strength Testing Using the ISOTIB Device [PDF]
J Foot Ankle ResABSTRACT Introduction One repetition maximum (1RM) testing is recognised as a reliable and valid method for determining maximum muscle strength. However, there are limited reports in the literature for measuring maximum ankle strength using free‐weight methods.
Drew S, Horan S, Duhig S.
europepmc +2 more sources
sEMG-Based Gesture Recognition With Embedded Virtual Hand Poses and Adversarial Learning
IEEE Access, 2019 To improve the accuracy of surface electromyography (sEMG)-based gesture recognition, we present a novel hybrid approach that combines real sEMG signals with corresponding virtual hand poses.
Yu Hu, Yongkang Wong, Qingfeng Dai
exaly +3 more sources
A 3DCNN-LSTM Hybrid Framework for sEMG-Based Noises Recognition in Exercise
IEEE Access, 2020 Recently, surface electromyography (sEMG) has been used to detect running-related works. sEMG provides a non-invasive and real-time method that allows quantification of muscle energy.
Shanq-Jang Ruan, Ya-Wen Tu
exaly +3 more sources
Upper Limb Action Recognition Using Deep Learning and sEMG
Journal of Harbin University of Science and Technology, 2023 The recognition of upper limb action by sEMG is an important method to realize the continuous passive action and active assisted action mode of rehabilitation robot .
XULinsen +4 more
doaj +1 more source
SEMG APPROACH FOR SPEECH RECOGNITION
International Journal of Advanced Research in Computer Science, 2023 Speech is the most familiar and habitual way of communication used by most of us. Due to speech disabilities, many people find it difficult to properly voice their views and thus are at a disadvantage. The research tackles the issue of lack of speech from a speech impaired user by recognizing it with the use of ML models such as Gaussian Mixture Model -
Siddesh Shisode +6 more
openaire +2 more sources
Investigation of an Acceleration Pipeline for Single Fiber Action Potential Simulation
Current Directions in Biomedical Engineering, 2022 Surface electromyography (sEMG) records the electrical potentials on the skin surface generated by the electrical activity of muscle fibers. To better understand physiology and to assess signal processing algorithms, sEMG models have been developed in ...
Oltmann Andra +3 more
doaj +1 more source
sEMG dataset of routine activities
Data in Brief, 2020 In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow.
Asad Mansoor Khan +3 more
openaire +3 more sources
A Layered sEMG–FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities
IEEE Transactions on Human-Machine Systems, 2023 The activities of muscles in the forearm have been widely investigated to develop human interfaces involving hand motions, especially in the fields of prosthetic hands and teleoperation.
Peiji Chen +4 more
semanticscholar +1 more source