Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

Although facial features are considered to be essential for humans to understand sign
language, no prior research work has yet examined their significance for automatic sign …

There is a growing demand in automated public safety systems for detecting unauthorized
vehicle parking, intrusions, un-intended baggage, etc. Object detection and recognition …

This research paper is an attempt to create a video background independent sign language
recognition (SLR) system. SLR acts as a Machine Interpreter (MI) between a mute person …

This paper studies the Hu's Invariant Moments as image descritors of a LIBRAS'hand
gestures recognition and introduces the Self-Organizing Maps (SOM) algorithm for …

Sign language recognition is a difficult task, yet required for many applications in real-time
speed. Using RGB cameras for recognition of sign languages is not very successful in …

In this paper we used a Replication Function (RF) for improvement tracking with dynamic
programming. The RF transforms values of gray level [0 255] to [0 1]. The resulting images of …

The importance of effective and efficient accounting of layout effects is well-established in
high-level synthesis (HLS), since it allows more realistic exploration of the design space and …

There is growing demand for automated public safety systems for detecting unauthorized
vehicle parking, intrusions, un-intended baggage, etc. One impacting factor for these …