IIT Madras Develops Artificial Intelligence (AI)Technology for Speech Impaired Person which can convert the brain signal into the English language. It also is used in interpreting nature's signals like the plant photosynthesis process or their response to any external stimulus.
Dr. Vishal Nandigana, Assistant Professor in the Department of Mechanical Engineering, IIT Madras. was led The AI making team.
Most of the signals are in the waveforms that can be decoded to meaningful information using physical law or mathematical transforms such as Fourier Transform or Laplace transform.which are discovered by the great scientist like Sir Isaac Newton and Jean-Baptiste Joseph Fourier.
"The output result is the ionic current, which represents the flow of ions which are charged particles. These electrically driven ionic current signals are worked on to be interpreted as human language meaning speech. This would tell us what the ions are trying to communicate with us. When we succeed with this effort, we will get electrophysiological data from the neurologists to get brain signals of speech impaired humans to know what they are trying to communicate." said Dr. Vishal Nandigana, head of the researcher during explaining this achievement.
Dr. Vishal Nandigana also said "The other major application of this field of research we see potentially is, we can interpret nature's signals, like plant photosynthesis process or their response to external forces mean when we collect their real data signal. The data signal also, we believe, is going to be in some wave-like pattern with spikes, humps, and crusts. So the big breakthrough will be can we interpret what plants and nature is trying to communicate to us. This will help in predicting monsoons, earthquakes, floods, Tsunami and other natural disasters using our Artificial Intelligence and Deep Learning algorithms. If we understand the nature signals well we can take care of it well which is our objective that we want to pitch in from our laboratory,"
Brain signals are typically electrical signals. These are wave-like patterns with spikes, humps, and crusts by using Deep Learning of algorithms it can be converted to simple human language meaning speech. This enabled the Researchers to read direct electrical signals of the brain.
IIT Madras Researchers are working on how these real data signal can be decoded into a human language such as the English language so that can be easily understood by human beings.
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