Abstract :
Silent Sound Technology will put an end
to embarrassed situation such as- An person answering his silent, but vibrating cell phone in a meeting, lecture or performance, and whispering
loudly, ‘ I can’t talk to you right now’ In the case of an urgent call,
apologetically rushing out of the room in order to answer or call the person
back.
Silent Sound Technology is processed through some ways or methods. They are Electromyograpy(EMG)
Silent Sound Technology is processed through some ways or methods. They are Electromyograpy(EMG)
Image Processing
Electromyography :
The Silent Sound Technology uses
electromyography, monitoring tiny muscular movements that occur when we speak.
Monitored signals are converted into electrical
pulses that can then be turned into speech, without a sound uttered.
Electromyography (EMG) is a technique
for evaluating and recording the electrical activity produced by skeletal
muscles.
An electromyography detects the electrical potential generated by
muscle cells, when these cells are electrically or neurologically activated.
Electromyographic sensors attached to
the face records the electric signals produced by the facial muscles, compare
them with pre recorded signal pattern of spoken words
When there is a match that sound is
transmitted on to the other end of the line and person at the other end listen
to the spoken words
Image Processing:
The simplest form of digital image
processing converts the digital data tape into a film image with minimal corrections and calibrations.
Then large mainframe computers are
employed for sophisticated interactive manipulation of the data.
In the present context, overhead
prospective are employed to analyze the picture.
In electrical engineering and computer
science, image processing is any form of signal processing for which the input
is an image, such as a photograph or video frame; the output of image
processing may be either an image or, a set of characteristics or parameters related to the image. Most
image-processing techniques involve treating the image as a two-dimensional
signal and applying standard signal-processing techniques to it
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