LSTMNCP: lie detection from EEG signals with novel hybrid deep learning method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16847-z.pdf
Reference45 articles.
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2. Bond CF, DePaulo BM (2006) Accuracy of deception judgments. Pers Soc Psychol Rev 10(3):214–234. https://doi.org/10.1207/S15327957PSPR1003_2
3. Oravec JA (2022) The emergence of “truth machines”?: artificial intelligence approaches to lie detection. Ethics Inf Technol 24(1):1–10. https://doi.org/10.1007/S10676-022-09621-6/METRICS
4. Anwar S, Batool T, Majid M (2019) Event Related Potential (ERP) based lie detection using a wearable EEG headset. In: Proceedings of 2019 16th International bhurban conference on applied sciences and technology, IBCAST 2019, pp 543–547. https://doi.org/10.1109/IBCAST.2019.8667131
5. Petoft A (2019) An overview of the technical limitations of applying the fMRI method in neurolaw. Bioethics 9:95–107. https://doi.org/10.22037/BJ.V9I34.30574
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