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
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