The integration of blockchain technology in the Internet of Medical Things (IoMT) enhances
user security, convenience and interoperability. It introduces a novel approach to gesture …

This article develops a novel distributed framework based on physics-informed deep
learning for robust and efficient musculoskeletal modeling in nonstationary scenarios, which …

Handwriting is essential for the development of fine motor skills in children. Handwritten
character recognition has the potential to facilitate natural human–machine interactions …

Airwriting recognition is a task that involves identifying letters written in free space using
finger movement. It is a special case of gesture recognition, where gestures correspond to …

Abstract 3D human pose estimation plays an important role in various human-machine
interactive applications, but how to effectively extract and represent the kinematical features …

Airwriting Recognition refers to the problem of identification of letters written in space with
movement of the finger. It can be seen as a special case of dynamic gesture recognition …

The air-writing recognition task entails the computer's ability to directly recognize and
interpret user input generated by finger movements in the air. This form of interaction …

Discrete myoelectric control-based gesture recognition has recently gained interest as a
possible input modality for many emerging ubiquitous computing applications. Unlike the …

Surface electromyogram (EMG) signals find diverse applications in movement rehabilitation
and human-computer interfacing. For instance, future advanced prostheses, which use …

Hand gesture recognition plays a vital role in human-computer interaction, offering a natural
and intuitive means of communication. However, vision-based hand gesture recognition is …