Brain-computer interfacing for bio-perceptive and rehabilitative applications

This paper offers a brief overview of the tutorial presentation to be offered at the International Conference on Computer, Communication, Control and Information Technology (C3IT'2015) by the first author. It covers foundations to applications of the Brain-Computer Interfacing research undertaken by a research group at Artificial Intelligence and Brain Imaging Laboratory of Jadavpur University, located in the department of Electronics and Tele-Communication Engineering. The coverage includes four important realizations using EEG Brain-Computer interfacing. The first realization includes EEG-driven position control of robotic links to move the end-affecter at the desired goal position by mental thoughts of the subject only. The second realization includes perceptual-ability measurement of subjects from their EEG response to smell stimuli. The third realization attempts to identify the cognitive failures in driving. The possible failures recognized from EEG signals of the driver includes failure due to lapse of visual attention, cognitive planning and motor execution to accelerate, brake or control the angular motion of the steering wheel. The last part of tutorial aims at detecting neuronal connectivity among the brain lobes during arousal of emotion of subjects.

[1]  L. Baccalá,et al.  Overcoming the limitations of correlation analysis for many simultaneously processed neural structures. , 2001, Progress in brain research.

[2]  Touradj Ebrahimi,et al.  EEG Correlates of Different Emotional States Elicited during Watching Music Videos , 2011, ACII.

[3]  Ishak Aris,et al.  Brain Computer Interface Design and Applications: Challenges and Future , 2010 .

[4]  Amit Konar,et al.  Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata , 2013, Medical & Biological Engineering & Computing.

[5]  Seungjin Choi,et al.  Independent Component Analysis , 2009, Handbook of Natural Computing.

[6]  Agnieszka Kitlas,et al.  Coherence function in biomedical signal processing: a short review of applications in Neurology, Cardiology and Gynecology , 2011 .

[7]  Agnieszka Kitlas Golińska,et al.  Coherence function in biomedical signal processing: a short review of applications in Neurology, Cardiology and Gynecology , 2011 .

[8]  Aurobinda Routray,et al.  Effect of Sleep Deprivation on Functional Connectivity of EEG Channels , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[9]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[10]  Amit Konar,et al.  Detection of signaling pathways in human brain during arousal of specific emotion , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[11]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[12]  E Donchin,et al.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  G. Pfurtscheller,et al.  ERD/ERS patterns reflecting sensorimotor activation and deactivation. , 2006, Progress in brain research.

[14]  José del R. Millán,et al.  Towards Brain-Computer Interfacing , 2007 .

[15]  Amit Konar,et al.  Interval Type-2 Fuzzy Model for Emotion Recognition from Facial Expression , 2012, PerMIn.

[16]  Chia-Wei Sun,et al.  An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System , 2010, Annals of Biomedical Engineering.

[17]  José del R. Millán,et al.  Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.

[18]  R. K. Wallace,et al.  Autonomic and EEG Patterns during Eyes-Closed Rest and Transcendental Meditation (TM) Practice: The Basis for a Neural Model of TM Practice , 1999, Consciousness and Cognition.

[19]  Rainer Martin,et al.  Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..

[20]  Axel Gräser,et al.  A BCI-controlled robotic assistant for quadriplegic people in domestic and professional life , 2011, Robotica.

[21]  Amit Konar,et al.  Object-shape recognition and 3D reconstruction from tactile sensor images , 2014, Medical & Biological Engineering & Computing.

[22]  F. L. D. Silva,et al.  EEG signal processing , 2000, Clinical Neurophysiology.

[23]  Pratyusha Rakshit,et al.  Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

[24]  Shogo Nishida,et al.  Prediction of feeling of subject under odor stimulation using physiological information , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[25]  Chin-Teng Lin,et al.  Generalized EEG-Based Drowsiness Prediction System by Using a Self-Organizing Neural Fuzzy System , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[26]  Amit Konar,et al.  Object-Shape Recognition by tactile Image Analysis using Support Vector Machine , 2014, Int. J. Pattern Recognit. Artif. Intell..

[27]  Amit Konar,et al.  Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose , 2014, Medical & Biological Engineering & Computing.

[28]  Amit Konar,et al.  EEG Analysis for Olfactory Perceptual-Ability Measurement Using a Recurrent Neural Classifier , 2014, IEEE Transactions on Human-Machine Systems.

[29]  Andrzej Cichocki,et al.  A new nonlinear similarity measure for multichannel signals , 2008, Neural Networks.

[30]  Li-Wei Ko,et al.  EEG-Based Assessment of Driver Cognitive Responses in a Dynamic Virtual-Reality Driving Environment , 2007, IEEE Transactions on Biomedical Engineering.

[31]  Rajesh P. N. Rao,et al.  Control of a humanoid robot by a noninvasive brain–computer interface in humans , 2008, Journal of neural engineering.

[32]  Amit Konar,et al.  EEG analysis for cognitive failure detection in driving using neuro-evolutionary synergism , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[33]  D. N. Tibarewala,et al.  EEG controlled remote robotic system from motor imagery classification , 2012, 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12).

[34]  Qiang Ji,et al.  A probabilistic framework for modeling and real-time monitoring human fatigue , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[35]  Tracy A. Dennis,et al.  Frontal EEG and emotion regulation: Electrocortical activity in response to emotional film clips is associated with reduced mood induction and attention interference effects , 2010, Biological Psychology.

[36]  Leontios J. Hadjileontiadis,et al.  Adaptive Emotional Information Retrieval From EEG Signals in the Time-Frequency Domain , 2012, IEEE Transactions on Signal Processing.

[37]  Matthias M. Müller,et al.  Processing of affective pictures modulates right-hemispheric gamma band EEG activity , 1999, Clinical Neurophysiology.

[38]  Amit Konar,et al.  An EEG-based cognitive failure detection in driving using two-stage motor intension classifier , 2014, Proceedings of The 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC).

[39]  Amit Konar,et al.  EEG-based fuzzy cognitive load classification during logical analysis of program segments , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[40]  Amit Konar,et al.  A Lyapunov-Based Extension to Particle Swarm Dynamics for Continuous Function Optimization , 2009, Sensors.

[41]  H. Lawless,et al.  Effects of Odors on Mood and Behavior: Aromatherapy and Related Effects , 1991 .

[42]  Yijun Wang,et al.  Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[43]  Desney S. Tan,et al.  Brain-Computer Interfacing for Intelligent Systems , 2008, IEEE Intelligent Systems.

[44]  Nicholas G. Hatsopoulos,et al.  Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.

[45]  S. Kar,et al.  EEG signal analysis for the assessment and quantification of driver’s fatigue , 2010 .

[46]  Amit Konar,et al.  Emotion Recognition: A Pattern Analysis Approach , 2015 .

[47]  Jaeseung Jeong,et al.  Toward Brain-Actuated Humanoid Robots: Asynchronous Direct Control Using an EEG-Based BCI , 2012, IEEE Transactions on Robotics.

[48]  Touradj Ebrahimi,et al.  Electroencephalogram alterations during perception of pleasant and unpleasant odors , 2012, 2012 Fourth International Workshop on Quality of Multimedia Experience.

[49]  Amit Konar,et al.  Emotion Recognition System by Gesture Analysis Using Fuzzy Sets , 2013, SEMCCO.