Abstract
The detection and resolution of any crime is made possible with the use of modern technology. The crime is discovered, the suspect is named, and then the court is presented with sufficient proof to show that the crime was committed by the named suspect. The proofs could be mental or physical. The best lie detector now in existence, according to this invention, is reported to be able to catch even sneaky crooks who successfully pass the standard polygraph test. Criminal investigators gather physical evidence, which can be destroyed, while mental evidence is preserved in the brain and cannot be erased. The brain wave reaction of an individual to crime-related images or phrases displayed on a computer screen can be used to analyze those evidences, using Electroencephalography (EEG). This novel Brain Fingerprinting technique uses brainwaves, which can be used to determine if the test participant remembers the specifics of the incident. The brain wave issuer will trap him even if they are consciously hiding the required information. Over 120 studies, including testing on Federal agents, testing for the United States intelligence agency and the US Navy, tests on actual cases, including felony crimes, have demonstrated that brain fingerprinting is 100 percent accurate.
References
- Başar-Eroglu, Canan, Erol Başar, Tamer Demiralp, and Martin Schürmann. "P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review." International journal of psychophysiology 13, no. 2 (1992): 161-179.
- Farwell, Lawrence A. "Method for electroencephalographic information detection." U.S. Patent 5,467,777, issued November 21, 1995.
- Farwell, Lawrence A., and Emanuel Donchin. "The brain Detector-P300 in the detection of deception." In Psychophysiology, vol. 23, no. 4, pp. 434-434. 1010 VERMONT AVE NW SUITE 1100, WASHINGTON, DC 20005: SOC PSYCHOPHYSIOL RES, 1986.
- Rosenfeld, J. Peter. "Brain fingerprinting: A critical analysis." The Scientific Review of Mental Health Practice 4, no. 1 (2005): 20-37.
- Gao, Junfeng, Xiangguo Yan, Jiancheng Sun, and Chongxun Zheng. "Denoised P300 and machine learning-based concealed information test method." Computer methods and programs in biomedicine 104, no. 3 (2011): 410-417.
- Cavanagh, James F., Michael X. Cohen, and John JB Allen. "Prelude to and resolution of an error: EEG phase synchrony reveals cognitive control dynamics during action monitoring." Journal of Neuroscience 29, no. 1 (2009): 98-105.
- Farwell, L. A., and T. H. Makeig. "Farwell brain fingerprinting in the case of Harrington v." State, Open Court X [10] 3 (2005): 7-10.
- Allen, John J., William G. Iacono, and Kurt D. Danielson. "The identification of concealed memories using the event‐related potential and implicit behavioral measures: A methodology for prediction in the face of individual differences." Psychophysiology 29, no. 5 (1992): 504-522.
- Erickson, Megan J. "Daubert's Bipolar Treatment of Scientific Expert Testimony-From Frye's Polygraph to Farwell's Brain Fingerprinting." Drake L. Rev. 55 (2006): 763.
- Lykken DT. The GSR in the detection of guilt. J Appl Psychol. 1959; 43:385–388. doi: 10.1037/h0046060.
- PICTON, Terence W. "Human event-related potentials." Handbook of Electroencephalography and Clinical Neurophysiology Revised Series 3 (1988).
- Roberts, Alexandra J. "Everything new is old again: brain fingerprinting and evidentiary analogy." Yale JL & Tech. 9 (2006): 234.
- Verschuere, Bruno, Gershon Ben-Shakhar, and Ewout Meijer, eds. Memory detection: Theory and application of the Concealed Information Test. Cambridge University Press, 2011.
- Meegan, Daniel V. "Neuroimaging techniques for memory detection: scientific, ethical, and legal issues." The American Journal of Bioethics 8, no. 1 (2008): 9-20.
- Wasserman, Stanley, and Ulf Bockenholt. "Bootstrapping: Applications to psychophysiology." Psychophysiology 26, no. 2 (1989): 208-221.
- https://larryfarwell.com.