1st Edition

Brain and Behavior Computing

Edited By Mridu Sahu, G. R. Sinha Copyright 2021
    428 Pages 209 B/W Illustrations
    by CRC Press

    428 Pages 209 B/W Illustrations
    by CRC Press

    Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain.

    • Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering.
    • Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it’s working.
    • Describes brain modeling and all possible machine learning methods and their uses.
    • Augments the use of data mining and machine learning to brain computer interface (BCI) devices.
    • Includes case studies and actual simulation examples.

    This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

    1. Simulation Tools for Brain Signal Analysis

    Munaza Ramzan and Suma Dawn

    2. Processing Techniques and Analysis of Brain Sensor Data Using Electroencephalography

    Munaza Ramzan and Suma Dawn

    3. Application of Machine-Learning Techniques in Electroencephalography Signals

    Arun Sasidharan and Kusumika Krori Dutta

    4. Revolution of Brain Computer Interface: An Introduction

    Y. Saty Prakash, K. Vijay, and V. Karan

    5. Signal Modeling Using Spatial Filtering and Matching Wavelet Feature Extraction for Classification of Brain Activity Pattern

    Vrushali G. Raut, Sanjay R. Ganorkar, Supriya O. Rajankar, and Omprakash S. Rajankar

    6. Study and Analysis of the Visual P300 Speller on Neurotypical Subjects

    Mridu Sahu, Vyom Raj, Shreya Sharma, and Samrudhi Mohdiwale

    7. Effective Brain Computer Interface Based on the Adaptive-Rate Processing and Classification of Motor Imagery Tasks

    Saeed Mian Qaisar, Reem Ramadan, and Humaira Nisar

    8. EEG-Based BCI Systems for Neurorehabilitation Applications

    Muhammad Ahmed Khan, Rig Das, John Paulin Hansen, and Sadasivan Puthusserypady

    9. Scalp EEG Classification Using TQWT-Entropy Features for Epileptic Seizure Detection

    Komal Jindal, Rahul Upadhyay, Prabin Kumar Padhy, and Hari Shankar Singh

    10. An Efficient Single-Trial Classification Approach for Devanagari Script-Based Visual P300 Speller Using Knowledge Distillation and Transfer Learning

    Ghanahshyam B. Kshirsagar and Narendra D. Londhe

    11. Deep Learning Algorithms for Brain Image Analysis

    Sai Darahas Akkineni and S. P. K. Karri

    12. Evolutionary Optimization Based Two Dimensional Elliptical FIR Filters for Skull Stripping in Brain Imaging and Disorder Detection

    Savita Srivastava, Atul Kumar Dwivedi, and Deepak Nagaria

    13. EEG-Based Neurofeedback Game for Focus Level Enhancement

    Humaira Nisar, Han Shen Chong, Saeed Mian Qaisar, Yeap Kim Ho, and Chuang Huei Gau

    14. Detecting K-Complexes in Brain Signals Using WSST2-DETOKS

    Zahra Ghanbari and Mohammad Hassan Moradi

    15. Directed Functional Brain Networks: Characterization of Information Flow Direction during Cognitive Function Using Non-Linear Granger Causality

    Md. Hedayetul Islam Shovon, D. (Nanda) Nandagopal, Jia Tina Du, and Vijayalakshmi Ramasamy

    16. Student Behavior Modeling and Context Acquisition: A Ubiquitous Learning Framework

    Anandi Giridharan and K.A. Venkatesh


    Mridu Sahu has completed her graduation in Computer Science and Engineering in 2004 from Maulana Azad National Institute of Technology, Bhopal. She completed her post – graduation Master of Technology in Computer Science and Engineering from RIT, Raipur in 2011 and completed the Ph.D. in Computer Science and Engineering in 2018 from National Institute of Technology Raipur, India. She is having more than 10-year experiences in teaching, presently she is working as an Assistant Professor in department of Information Technology, NIT Raipur, India. She has published more than 25 research articles in various journals and conferences and book chapters in the field of Data Mining, Brain Computer Interface, Sensor devices and Visual Mining Techniques.

    G R Sinha is Adjunct Professor at International Institute of Information Technology (IIIT) Bangalore and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) with Gold Medal from National Institute of Technology Raipur, India. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU) Bhilai, India. He is Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo for one year 2019-2020. He has published 250 research papers, book chapters and books at International and National level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 05 Edited books on Cognitive Science-Two Volumes (Elsevier), Optimization Theory (IOP) and Biometrics (Springer). He is active reviewer and editorial member of more than 12 Reputed International Journals such IEEE Transactions on Image Processing, Elsevier Computer Methods and Programs in Biomedicine, Springer Journal of Neural Computing and Applications etc. He has teaching and research experience of 21 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE P Sub-Section Executive Council (2016-2019); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards and recognitions like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher in Technical Education by ISTE New Delhi, Emerging Chhattisgarh Award 2013, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, ISCA Young Scientist Award 2006 Nomination and Deshbandhu Merit Scholarship for 05 years. He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is Senior Member of IEEE and Fellow of IETE India.