Comprehensive Review of Lie Detection in Subject Based Deceit Identification
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3177-4_7
Reference27 articles.
1. Bablani A, Edla DR, Tripathi D, Venkatanareshbabu K (2018) Subject based deceit identification using empirical mode decomposition. Sci Direct Proced Comput Sci 132:32–39
2. Chadwick A, Stanyer J (2021) Deception as a bridging concept in the study of disinformation, misinformation, and misperceptions: toward a holistic framework. Communication Theory ISSN 1050–329, Oct 2021
3. Abdulaziz AlArfaj A, Mahmoud HAH (2022) A deep learning model for EEG-based lie detection test using spatial and temporal aspects. https://doi.org/10.32604/cmc.2022.031135. Received: 11 April 2022. Accepted 07 June 2022
4. Bablani A, Edla DR, Venkatanareshbabu K, Dedia S An efficient deep learning paradigm for deceit identification test on EEG signals
5. Stanley JT, Britney A (2019) Webster, A comparison of the effectiveness of two types of deceit detection training methods in older adults
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