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Dissertation Defence Board of Natural Sciences Field: Prof. The proposed algorithm gives a similar filtering performance to a well-known CSP (common spatial patterns) algorithm. Gintautas Dzemyda (Vilnius University, Natural Sciences, Informatics, N 009), Prof. Alfonsas Misevičius (Kaunas University of Technology, Natural Sciences, Informatics, N 009), Prof. Gintaras Palubeckis (Kaunas University of Technology, Natural Sciences, Informatics, N 009), Prof. Raimund Ubar (Tallinn University of Technology, Estonia, Natural Sciences, Informatics – N 009). Multiple feature extraction and classification methods have been investigated and tested using computational software and experimental analysis methods.
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?
Expanding on this study, the nine able-bodied subjects who used user-selected tasks took part in an additional ten sessions and were weaned off mental tasks to achieve online voluntary self-regulatory control of a BCI using a neurofeedback-based paradigm.
Participants indicated that they found self-regulation to be more intuitive and easier to use than mental tasks.
It is also useful for rehabilitation after stroke and other disorders. implementation of BCI in real world scenario for severe disorders, signal acquisition hardware must be suitable to all environments and it needs advancement using latest tools and trend.
All this gives a researcher a wide scope to show their inner talents Spatial Filter Optimization Artificial Intelligence Ethical & Social implications perspective Issues on assistive technology & rehabilitation Clinical issues Signal processing & Control Bioengineering Perspective Sensing & Measuring Techniques Implant Retreival Sensors for Neural Activity1. It needs external equipments sometimes like camera etc.
It is not easy to take a phd research topic in Brain computer interface, it requires thorough knowledge about it, for which we are ready to give full support.
Brain computer interface mainly aims at restoring function of disabled people using advanced robotics and other concepts.
Moreover, a stackable and modular EEG acquisition hardware system for MI has been developed to help record second four-class validation EEG dataset and spread BCI among the wider audience.
Near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs) enable individuals to interact with their environment using only cognitive activities.