• DocumentCode
    2503403
  • Title

    Criminal forensic: An application to EEG

  • Author

    Mohanchandra, Kusuma

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Dayananda Sagar Coll. of Eng., Bangalore, India
  • fYear
    2015
  • fDate
    8-10 Jan. 2015
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    In the recent years, especially during the last decade electroencephalography (EEG) based brain computer interface (BCI) have become a prevailing study of neuroscience, machine learning and rehabilitation. A BCI provides an arena for a human brain to communicate with a computer directly without the normal neurophysiologic pathways. The electrical signals of the brain, with their fast responsivity with cognitive processes are most suitable as non-motor control mediation between the human and a computer. This can serve as a communication and control channel for various applications. One of the most intriguing uses of EEG is in forensic investigation, used as a tool in lie detection. Lie detection technology has been applied increasingly to investigate and solve criminal cases. Though the contributions of neurobiological research to forensic technology remain largely hypothetical, the evidences appear promising and further research is both feasible and warranted. The brain based lie detection may veritably give solution to many complicated investigation. This paper explores the evolvement of lie detection technology, their working principles, the latest development, and the prospect of their application in forensic science.
  • Keywords
    brain-computer interfaces; electroencephalography; forensic science; medical signal processing; EEG-based BCI; brain electrical signals; cognitive processes; control channel; criminal forensic; electroencephalography based brain computer interface; lie detection technology; nonmotor control mediation; normal neurophysiologic pathways; working principles; Brain; Brain-computer interfaces; Computers; Electrodes; Electroencephalography; Forensics; Physiology; Brain computerinterface; Criminal forensic; Electroencephalography; Event relatedpotential; Lie detection; Polygraph.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent and Emerging trends in Computer and Computational Sciences (RETCOMP), 2015
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4799-1834-8
  • Type

    conf

  • DOI
    10.1109/RETCOMP.2015.7090798
  • Filename
    7090798