Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular
potentials generated when the brain instructs the body to perform both fine and coarse …

Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …

The following paper presents the implementation of a versatile convolutional neural network
architecture (CNN) for the recognition of 6 different commands by means of hand gestures …

This paper discusses the design of the Singing Knit, a wearable knit collar for measuring a
singer's vocal interactions through surface electromyography. We improve the ease and …

Through experience, the techniques used by professional vocalists become highly ingrained
and much of the fine muscular control needed for healthy singing is executed using well …

Strength training improves overall health, well-being, physical appearance, and sports
performance. There are four major factors that affect training efficacy in a training session …

Usability challenges and social acceptance of textual input in a context of extended realities
(XR) motivate the research of novel input modalities. We investigate the fusion of inertial …

This paper introduces my PhD research on the relationship which vocalists have with their
voice. The voice, both instrument and body, provides a unique perspective to examine …

Recent technological advances have enabled the prosthetic developers to derive an ideal
replacement for the human arm in near future. This research presents design of a 3D Printed …

This paper presents an input method to expand one-handed touch input vocabulary for
smartphones using the index finger. To this end, our method combines thumb-based touch …