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• The impact of keyboard parameters on mixed reality text entry experience.
• Key size affects typing speed, accuracy, and muscle activity.
• The typing angle affects the speed of typing and perceived usability.
• The typing technique ...

This study investigates the effects of key sizes, typing angles, and typing techniques on typing productivity, biomechanics (muscle activity), and subjective experience with a mixed reality keyboard. The findings suggest that using smaller key ...

Electromyography (EMG) signals are essential, as they are used to measure muscular activity in different parts of the human body. The measurement and analysis of EMG signal lead to various applications of muscle disorders such as muscular ...

• An Optimized K-Nearest Neighbor classifier is proposed based on the Modified KNN.
• DWT is applied for feature extraction to obtain key features from the raw EMG dataset.
• BGGABC based wrapper FS is used to enhance the performance of ...

Electromyography (EMG) enables hands-free interactions by detecting muscle activity at different human body locations. Previous studies have demonstrated that input performance based on isometric contractions is muscle-dependent and can benefit from ...

Analyzing an operator’s mental state is an important issue in manufacturing. In this paper, we focused on confusion and perceived smoothness of work progress. A 40-participant experiment was conducted in which participants performed two 50-minute ...

• In agriculture, lifting and carrying is one of the most significant contributors toward work-related musculoskeletal disorder.
• A novel back-shoulder exoskeleton (HExo) was designed, fabricated, and evaluated for work at orchid house ...

Work-related musculoskeletal diseases of the lower back and shoulders are frequently caused by lifting, carrying and trunk bending. Therefore, a hybrid exoskeleton (HExo) that provides external torque to the upper extremities and back may reduce ...

Conventional hamstring (HAM) stretching therapeutic effects are not substantiable in neuromusculoskeletal conditions with HAM tightness or shortness. We developed a kinetic chain stabilization exercise to provide a more sustainable ...

The human-machine interface (HMI) collects electrophysiology signals incoming from the patient and utilizes them to operate the device. However, most applications are currently in the testing phase and are typically unavailable to everyone. ...

This study presents a novel experimental paradigm for collecting Electromyography (EMG) data from continuous movement sequences and a Deep Neural Network (DNN) learning framework for segmenting movements from these signals. Unlike prior research ...$\mathrm{}$$\mathrm{}$$\mathrm{}$

In this work, a hand gesture recognition system was created for 11 different gestures. The system employed CNN-LSTM artificial neural networks and followed the CRISP-ML(Q) process model. The aim was to incorporate software engineering practices ...

The heritage restoration of paintings and calligraphy is a labour-intensive process, characterised by repetitive, low-intensity, and high-precision. Two core steps, “lift up the previous” and “fix and maintain”, can lead to muscle fatigue in the upper ...

Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one of the most relevant research topics in the human–machine interfaces field in recent years. The HGR systems are aimed at identifying the moment in which a hand ...

• Develop hand gesture recognition systems (HGR) based on Deep Q-network algorithm.
• We use a public large dataset EMG-EPN-612 composed of 612 users with information of six different hand gestures.
• We compared the supervised learning ...

Ergonomic efficiency is essential to the mass and prolonged adoption of VR/AR experiences. While VR/AR head-mounted displays unlock users’ natural wide-range head movements during viewing, their neck muscle comfort is inevitably compromised by the added ...

Agricultural work requires physical labor and often entails repetitive movements of the upper extremities, which can result in musculoskeletal disorders. The purpose of this study was to assess the impact of utilizing an arm-support exoskeleton (...

Using electromyography (EMG) measurements for user interfaces (UIs) is widely employed as an interaction method. Some advantages of using EMG-based input are that it does not require a physical controller and can be operated intuitively with small ...

Reliable estimation of bidirectional delays in motor control systems is crucial for uncovering underlying physiological mechanisms. However, previous studies have largely overlooked the delay in information transmission from the perspective of ...

With the advances in electromyography-based human–computer interaction, particularly in myoelectric prosthetic hands, the position of electromyography electrodes has gained less attention from researchers. However, the performance of hand ...

Using biosignals through electromyography (EMG) and rendering them as feedback for hands-free interaction finally migrates to engaging virtual reality (VR) experiences for health and fitness-related applications. Previous work proposes various body ...

The brain is a unique organ that performs multiple processes simultaneously, such as sensory, motor, and cognitive function. However, several neurological diseases (ataxia, dystonia, Huntington’s disease) or trauma affect the limb ...

Among dimensional models of emotions, two- and three-dimensional are most popular, while the true dimension of affective space is a matter of debates. Here we study the inherent dimension of the emotion space represented in facial ...

Grip force estimation is highly required in realizing flexible and accurate prosthetic control.

This study presents a method to accurately estimate continuous grip force from surface electromyography (sEMG) under three forearm ...