A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024
Hand gesture is the main method of communication for people who are hearing-impaired,
which poses a difficulty for millions of individuals worldwide when engaging with those who …
which poses a difficulty for millions of individuals worldwide when engaging with those who …
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …
impairs physical performance and increases the risks of injury. It is important to continuously …
A deep learning approach using attention mechanism and transfer learning for electromyographic hand gesture estimation
Y Wang, P Zhao, Z Zhang - Expert Systems with Applications, 2023 - Elsevier
Accurate surface electromyography decoding of hand gestures is pivotal for advancing
human–computer interaction applications. Recent developments in end-to-end deep neural …
human–computer interaction applications. Recent developments in end-to-end deep neural …
LSTM recurrent neural network for hand gesture recognition using EMG signals
Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …
capabilities these systems provide to the field of human–machine interaction, however …
Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control
To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove
Hand gesture recognition is one of the most widely explored areas under the human–
computer interaction domain. Although various modalities of hand gesture recognition have …
computer interaction domain. Although various modalities of hand gesture recognition have …
Thermal image-based hand gesture recognition for worker-robot collaboration in the construction industry: A feasible study
Worker-robot collaboration (WRC) is a promising solution for complex construction tasks,
which can integrate the robots' advantages in strength and accuracy with human ability in …
which can integrate the robots' advantages in strength and accuracy with human ability in …
Real-time classification of emg myo armband data using support vector machine
C Tepe, MC Demir - IRBM, 2022 - Elsevier
Objectives This study investigates the performance of the Support Vector Machine (SVM) to
classify non-real-time and real-time EMG signals. The study also compares training …
classify non-real-time and real-time EMG signals. The study also compares training …
Online cross session electromyographic hand gesture recognition using deep learning and transfer learning
Z Zhang, S Liu, Y Wang, W Song, Y Zhang - Engineering Applications of …, 2024 - Elsevier
In recent years, hand gesture recognition in human-computer interfaces is usually based on
surface electromyography because the signals are non-intrusive and are not affected by the …
surface electromyography because the signals are non-intrusive and are not affected by the …
Cognitive investigation on the effect of augmented reality-based reading on emotion classification performance: A new dataset
Y Daşdemir - Biomedical Signal Processing and Control, 2022 - Elsevier
As a result of stimulating the basic human senses, emotional states occur in humans. Of
these senses, the visual sense is the most basic human sense. This sense perceives visual …
these senses, the visual sense is the most basic human sense. This sense perceives visual …