Phd Thesis On Brain Computer Interface

Phd Thesis On Brain Computer Interface-14
The algorithm has been successfully validated during the experiments.The convolutional neural networks (CNN) based classification method has been adapted to solve four-class MI problem, and the experimentally acquired results were close to the other state-of-the-art methods.

During his doctoral work he also explored integrating electroencephalogram and near infrared spectroscopy modalities for cognitive applications.

The Berlin Brain-Computer Interface aims to improve the detection and decoding of brain signals acquired by electroencephalogram (EEG).

To this end the research focusses on new sensor technology, improved understand of the brain and the analysis of brain waves using modern machine learning methods.

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phd research topic in BRAIN COMPUTER INTERFACE is the focus of rapidly growing research and development enterprises which excites the blooming researchers. Every one wants to know the hidden facts about human brain which makes the researcher to work more about it.

Brain computer interface is one of the fields which got major attention in past years.

It can be implemented using normal coding language with external equipments if needed.2. Yes without using mouse, we can control the screen by using some sort of identification like color.3.

What kind of projects available based on the concept of disability?

Navin Gupta is currently an Assistant Professor with the Department of Biosciences and Bioengineering, IIT Guwahati working in the areas of brain computer interfaces,imaging genetics for psychiatric disorders, multimodal/multivariate algorithm development and designing wearable medical solutions for patient mobility.

He completed his Postdoctoral learning in the area of schizophrenia imaging genetics on a joint National Institute of Health (NIH) grant between Mind Research Network, USA and Georgia State University, USA publishing in numerous high impact journals.


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