Automatic aiding of human cognitive functions with computerized

Data processing: artificial intelligence – Plural processing systems

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706 16, 706 15, 600554, G06N 300

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active

060920580

ABSTRACT:
An automatic aider of human cognitive functions for the operation of computerized displays. The invention estimates in real-time the mental decision made in response to a displayed stimulus from the single-even, transient, evoked cerebral potential and the corresponding visual response. The invention attains high accuracy levels of decision classification by combining a unique parametric model of the cerebral potential with advanced techniques drawn from numerical analysis, artificial intelligence, and nonlinear regression analysis. The invention uses an expert system to determine the decision aiding to be provided to the human operator from the disparities among the estimations and the decisions that are expected from task scripts for the displayed stimulus.

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Sadasivan, P.K. et al.; "Neural Network Approach to the Enhancement of EEG ignals in the Presence of EOG Artefacts"; TENCON '91.1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control S.
Glover, J.R., Jr.; Raghaven, N.; Ktonas, P.Y.; Frost, J.D., Jr.; "Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives"; Biomedical Engineering, IEEE Transactions on; vol. 365, pp. 519-527, May 1989.
Chang, T.G.; Smith, J.R.; Principe, J.C., "A layered processing model for knowledge-based contextual interpretation of multichannel EEG/EOG signals", Southeastcon '88., IEEE Conference Proceedings, 1988, pp. 239-243.

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