In this work, a vision-based approach is used to build a dynamic hand gesture recognition
system. Various challenges such as complicated background, change in illumination and …

In this paper, support vector machine (SVM) classification based Fuzzy filter (FF) is proposed
for removal of impulse noise from gray scale images. When an image is affected by impulse …

Hand gesture recognition using surface electromyography (sEMG) has been one of the most
efficient motion analysis techniques in human–computer interaction in the last few decades …

With the advent of technology, digital image watermarking turns to be an effective technique
to protect digital images from illegal usages and manipulation. In digital image …

Hand gesture recognition can substitute the use of text-entry interface for human computer
interaction. However, it is a challenging task to develop a virtual text-entry interface covering …

Human–computer interaction (HCI) is the most prevalent topic of active research due to the
demand for machine learning and computer vision. American Sign Language (ASL) is one …

This paper presents a hand gesture recognition system which addresses the effect of
variations in gesture pattern during gesticulation. Different gestures can be gesticulated in …

Accurately localizing bare-hands is crucial for human–computer interaction systems. In real-
time systems, computational time plays a pivotal role in achieving this task within a specified …

Detecting and recognizing naturally gesticulated characters in mid-air is difficult because of
the complexity arising due to (i) gesticulation style;(ii) gesture's pattern and size. This …

Natural gesticulation in-air is multifaceted, as defining a gesture's pattern/size/speed or its
stroke information is difficult. The unavailability of vision-based techniques to distinguish the …