An Intelligent Approach of Measurement and Uncertainty Estimation for Hidden Information Detection Using Brain Signals

• Published in: MĀPAN : journal of Metrology Society of India Vol. 37; no. 1; pp. 81 - 95
• Main Authors: Saini, Navjot, Bhardwaj, Saurabh, Agarwal, Ravinder
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.03.2022; Springer Nature B.V
• Subjects: Auditory stimuli; Brain; Crime; Electroencephalography; Feature extraction; Mathematical and Computational Physics; Mathematical Methods in Physics; Measurement Science and Instrumentation; Numerical and Computational Physics; Original Paper; Physics; Physics and Astronomy; Radial basis function; Simulation; Support vector machines; Theoretical; Uncertainty; Waveforms; Empirical mode decomposition; Support vector machine; Electroencephalogram; Feature ranking

The focus of the present work is to reliably determine the hidden information in the human brain accompanied by uncertainty estimation to develop an efficient computer-based hidden information detection procedure. A new approach is proposed to assess the concealed information in the individuals util...