National Institute of Fundamental Studies
 
 

Project Description

Due to the advancement of modern medical sciences, people with severe paralysis can now live a long life. Although their minds function perfectly, some may not even be able move a single muscle in the body to communicate with outside world. A Brain Computer Interface (BCI) system would enable these severely physical disable people to communicate with outside world via computer voice in his or her native language (in Sinhala, Tamil or English) and / or control equipment such as wheel chairs and televisions. These types of communicating abilities could greatly improve the quality of their lives.

Aim of the BCI group is three fold.

  1. To identify new mental activities that can alter electroencephalogram (EEG) signals up to a level where it can be detected by signal processing methods.

  2. to develop new methods to improve the detection and decoding of brain signals acquired by EEG

  3. to design and construct low cost hardware and software for BCI to be used in Sri Lanka


Achievements of the Project

Hardware / Software Development:
Hardware:

The Low cost 8 channel EEG/EOG (Electrooculogram) /EMG (Electromylogram) amplifier which has been constructed in our laboratory was later modified to be used with Real Time Brain Computer system (Figure 1).


Amplification unit

Filter unit

A/D & Amp Selection unit

Computer Control unit

Software:

  • GENIE

    A complete software package for recording EEG, EMG and EOG signals from this amplifier was developed. Further, an EEG based Brain computer interface system (named GENIE) was constructed to accept and classify signals from subjects in real time.

  • IMTE (Identification of Mental Tasks through EEG)

    IMTE can be used to carry out signal processing and classifications of EEG data. IMTE has a Graphical User Interface (GUI) with user friendly features and supports various signal processing techniques.

Postgraduate Degrees completed:

The research assistant in the BCI research project obtained an MPhil degree from Postgraduate Institute of Science at University of Peradeniya.
 

  • Title: Brain Computer Interface (BCI) based on Electroencephalographic (EEG) patterns due to new cognitive tasks.
  • Institution: PGIS, University of Peradeniya
  • Name: Zahmeeth Sakaff

Publications:

Asiri Nanayakkara and Zahmeeth Sakkaff, ‘Fixed distance neighbor classifiers in Brain Computer Interface systems’ Journal of National Science Foundation, Sri Lanka 40, 195 (2012)

Zahmeeth Sakkaff and Asiri Nanayakkara, ‘New set of cognitive tasks in EEG based Brain Computer Interface’ 2010 5th IEEE International Conference on Information and Automation for Sustainability, ICIAfS 2010, pp. 87-90 (Received the best paper award in the area of machine learning)

Asiri Nanayakkara and Zahmeeth Sakkaff ‘Automated dimensionality reduction in EEG based Brain Computer Interface’ 2010 5th IEEE International Conference on Information and Automation for Sustainability, ICIAfS 2010, pp. 70-74

Zahmeeth Sakkaff and Asiri Nanayakkara , ‘Comparison of new mental tasks with Imaginary motor movements in EEG based Brain Computer Interface (BCI)’ Proceedings of the Technical Sessions, 26 (2010) Institute of Physics Sri Lanka

Zahmeeth Sakkaff and Asiri Nanayakkara, ‘Removal of ocular artifacts from EEG signals in Brain Computer Interface’, Proceedings of the Technical Sessions, 24 (2008) 51-57 Institute of Physics Sri Lanka

- Information provided by the Group Leader -