HANDCOMM S2V (HAND COMMUNICATION TO VOICE

Abstract

It's clear from the provided text that the Sign
to Voice system prototype, S2V, has been developed to
address the communication needs of hearing or speechimpaired
individuals by automatically recognizing sign
language. The system uses a Feed Forward Neural
Network for detecting two-sequence signs and has been
trained on sets of universal hand gestures captured from
video footage. The experimental results indicate that the
neural network has achieved satisfactory sign-to-voice
translation.
The word "elevate" in the context you've provided seems to
emphasize the positive impact and significance of this
system in enhancing communication and bridging the gap
between hearing/speech-impaired individuals and the
general population. Here's a rephrased version of your
text with "elevate" included:
"This paper introduces a groundbreaking system prototype
known as the Sign to Voice system, or S2V, designed to
address the communication challenges faced by
individuals with hearing or speech impairments. Sign
language, a vital method of non-verbal communication, is
commonly used by this community to interact with both
their peers and the general population. Existing sign
language systems, while available, often lack flexibility
and cost-effectiveness.
S2V leverages advanced technology, employing a Feed
Forward Neural Network for the detection of twosequence
signs. To train the neural network for
classification purposes, we collected data from various
universal hand gestures captured through video cameras.
Our experimental results are highly promising,
demonstrating that the neural network has achieved
satisfactory sign-to-voice translation.
In essence, S2V elevates the potential for meaningful
communication between individuals with hearing or
speech impairments and those without, fostering more
effective and inclusive interactions