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Human behavioral analysis using ECG and EEG

Author Affiliations

  • 1Electronics and Instrumentation Engg., Narula Institute of Technology, India
  • 2Electronics and Instrumentation Engg., Narula Institute of Technology, India
  • 3Electronics and Instrumentation Engg., Narula Institute of Technology, India

Res. J. Engineering Sci., Volume 10, Issue (1), Pages 54-57, January,26 (2021)


To improve human and machine interaction, detection of positive or negative emotions play the lead role. There are some basic human emotions like anger, disgust, fear, happiness, sadness and surprise. Some emotions are positive like happy and surprise (at some cases) and some emotions are negative like anger, sadness, disgust, fear. Here, EEG (Electroencephalography) and ECG (Electrocardiography) can be mainly analyzed to get better result to detect these emotions more than the usual face expression recognition where the subject can have control over. Another part of this work is ERP which is also known as event-related potential is a measured response of cognitive behaviour or any motor event. While moving any part of our body human brain is the main controller. Brain Computer Interface (BCI) is a device that allows brain to communicate with computational devices. In this paper, a database has been taken where the subject is a 21 years old, right handed male without any medical condition. The database is recorded while the subject was moving both of his hands and when the hands were in baseline. Here, the difference between the two tasks and the effects on the brain because of the motor movements will be discussed. Not only in Brain Computer Interface but also in medical field, analysis of behaviour using hand gestures can be the most effective matter of interest.


  1. Chaitali Bhattacharyya, Trisha Paul, Susmita Das, Soutrik Karmakar and Shyam Sundar Banerjee (2020)., Approach of Mental State Analysis using EEG., International Journal of Scientific and Research Publications, 10(2). DOI:
  2. Trisha Paul, Chaitali Bhattacharyya, Payosmi Sen, Riya Prasad, Suraj Shwa, Susmita Das (2020)., Human Emotion Recognition using GSR and EEG; International Journal of Scientific and Research Publications. 10(5). DOI:, undefined
  3. Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa (2015)., Brain Computer Interfaceing: Applications and Challenges., Egpytian Informatics Journal, 16, 213-230
  4. Peter T. Lin, Kartikeya Sharma, Tom Holroyd, Harsha Battapady, Ding-Yu Fie and Ou Bai (2012)., A High Performance MEG Based BCI Using Single Trail Detection of Human Movement Intertion., Intech Open science.
  5. Chen, Jianhua, Mu, Xihui and Du, Fengpo (2017)., Biomechanics analysis of human lower limb during walking for exoskeleton design., Journal of Vibro engineering, 19, 5527-5539. 10.21595/jve.2017.18459.
  6. Bigdelou, A, Schwarz L and Navab N (2012)., An adaptive solution for intra-operative gesture-based human-machine interaction., 2012 ACM international conference on Intelligent User Interfaces, Lisbon, Portugal.
  7. Andreoni G, Parini S, Maggi L., Piccini L., Panfili G, Torricelli A (2007)., Human Machine Interface for Healthcare and Rehabilitation; Advanced Computational Intelligence Paradigms in Healthcare-2., Studies in Computational Intelligence, 65. Springer, Berlin, Heidelberg.
  8. Biel B, Grill T and Gruhn V (2010)., Exploring the benefits of the combination of a software architecture analysis and a usability evaluation of a mobile application., J. Syst. Software, 83(11), 2031-2044. 1016/j.jss.2010.03.079.