AI Technology to convert Brain Signals of Speech-Impaired Humans
- Posted By
10Pointer
- Categories
Science & Technology
- Published
10th Feb, 2020
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Context
- Indian Institute of Technology Madras Researchers have developed an Artificial Intelligence technology to convert brain signals of speech impaired humans into Language.
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Who developed it?
- A team of researchers lead by Dr. Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering, IIT Madras, is working on this area of research.
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What are signals?
- Electrical signals, brain signal or any signal, in general, are waveforms which are decoded to meaningful information using physical law or mathematical transforms such as Fourier Transform or Laplace transform.
- These physical laws and mathematical transforms are science-based languages discovered by renowned scientists such as Sir Isaac Newton and Jean-Baptiste Joseph Fourier.
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How does it work?
- 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.
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How was this concept tested?
- They tested this concept by getting experimental electrical signals through experiments in the laboratory to get signals from nanofluidic transport inside nanopores.
- The nanopores were filled with saline solution and mediated using an electric field.
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What are the other applications?
- The other major application for this field of research is that the researchers can potentially interpret nature’s signals such as like plant photosynthesis process or their response to external forces.
- The data signal also 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, earthquake, floods, Tsunami and other natural disasters using our Artificial Intelligence and Deep Learning algorithms.
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What are brain signals?
- Brain signals are typically electrical signals.
- These are wave like patterns with spikes, humps and crusts which can be converted into simple human language meaning speech using Artificial Intelligence and Deep Learning algorithms.
- This enabled the Researchers to read direct electrical signals of the brain.
Quick Recap
- AI Technology to convert Brain Signals of Speech-Impaired Humans—by IIT Madras—lead by Dr. Vishal Nandigana.
- Fourier Transform or Laplace transform—discovered by Sir Isaac Newton and Jean-Baptiste Joseph Fourier.
- Nanofluidics—study and application of phenomena that involve fluid motion through or past structures with features that measure less than 100 nm in one or more directions.
- Brain signals—are electrical signals—patterns with spikes, humps and crusts.
