Multiday EMG-based classification of hand motions with deep learning techniques
Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …
performance of myoelectric control for upper limb prostheses with respect to current clinical …
Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks
High value manufacturing systems still require ergonomically intensive manual activities.
Examples include the aerospace industry where the fitting of pipes and wiring into confined …
Examples include the aerospace industry where the fitting of pipes and wiring into confined …
Design, development, and testing of an intelligent wearable robotic exoskeleton prototype for upper limb rehabilitation
Neuromotor rehabilitation and recovery of upper limb functions are essential to improve the
life quality of patients who have suffered injuries or have pathological sequels, where it is …
life quality of patients who have suffered injuries or have pathological sequels, where it is …
Learning effective spatial–temporal features for sEMG armband-based gesture recognition
Surface electromyography (sEMG) armband-based gesture recognition is an active research
topic that aims to identify hand gestures with a single row of sEMG electrodes. As a typical …
topic that aims to identify hand gestures with a single row of sEMG electrodes. As a typical …
Enhancing virtual rehabilitation in upper limbs with biocybernetic adaptation: the effects of virtual reality on perceived muscle fatigue, game performance and user …
MF Montoya, JE Muñoz… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Virtual rehabilitation has been used during decades to provide a more personalized,
controlled, and enjoyable experience on upper-limb motor rehabilitation. Since novel virtual …
controlled, and enjoyable experience on upper-limb motor rehabilitation. Since novel virtual …
Transfer learning-based muscle activity decoding scheme by low-frequency sEMG for wearable low-cost application
Y Li, W Zhang, Q Zhang, N Zheng - IEEE Access, 2021 - ieeexplore.ieee.org
The surface electromyogram (sEMG) contains a wealth of motion information, which can
reflect user's muscle motion intentions. The decoding based on sEMG has been widely used …
reflect user's muscle motion intentions. The decoding based on sEMG has been widely used …
Stress level estimation based on physiological signals for virtual reality applications
CE Orozco-Mora, D Oceguera-Cuevas… - IEEE …, 2022 - ieeexplore.ieee.org
Virtual Reality (VR) video games have become popular in recent years with the emergence
of a wide variety of enhanced VR hardware systems. Typically, current VR video games …
of a wide variety of enhanced VR hardware systems. Typically, current VR video games …
Fatigue-aware videogame using biocybernetic adaptation: A pilot study for upper-limb rehabilitation with sEMG
Physical rehabilitation has been widely used to restore or maintain motor capabilities of
patients with upper-limb mobility limitations. Despite its effectiveness, physical rehabilitation …
patients with upper-limb mobility limitations. Despite its effectiveness, physical rehabilitation …
Comparison EMG pattern recognition using bayes and NN methods
DS Pamungkas, I Simatupang - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This article presents a comparative study for recognition hand gesture between Naïve Bayes
and Neural Network (NN) methods for electromyography signals (EMG). EMG signals are …
and Neural Network (NN) methods for electromyography signals (EMG). EMG signals are …
Monitoring Neuromuscular Activity during Exercise: A New Approach to Assessing Attentional Focus Based on a Multitasking and Multiclassification Network and an …
Strengthening muscles can reduce body fat, increase lean muscle mass, maintain
independence while aging, manage chronic conditions, and improve balance, reducing the …
independence while aging, manage chronic conditions, and improve balance, reducing the …