Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …

The autonomous manipulation of objects by robotic grippers has made significant strides in
enhancing both human daily life and various industries. Within a brief span, a multitude of …

Background Hand grasp patterns require complex coordination. The reduction of the
kinematic dimensionality is a key process to study the patterns underlying hand usage and …

Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative
robotic systems, enabling their use to restore activities of daily living (ADL) in those with …

Modelling hand kinematics is a challenging problem, crucial for several domains including
robotics, 3D modelling, rehabilitation medicine and neuroscience. Currently available …

Visuo-haptic illusions are a method to expand proxy-based interactions in VR by introducing
unnoticeable discrepancies between the virtual and real world. Yet how different design …

Abstract The Tactile Internet aims to advance human-human and human-machine
interactions that also utilize hand movements in real, digitized, and remote environments …

Background. Muscle synergy analysis is an approach to understand the neurophysiological
mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce …

Objective: The hand function of individuals with spinal cord injury (SCI) plays a crucial role in
their independence and quality of life. Wearable cameras provide an opportunity to analyze …

Surface electromyography (sEMG) array based gesture recognition, which is widely-used,
could provide natural surfaces for human-computer interaction. Currently, most existing …