Multi-Modal Deception Detection Using Deep Learning
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Work Details
- DOI 10.1109/icccnt61001.2024.10723907
- OpenAlex ID W4404031329
- Type Conference-paper
- Language EN
- Published 24 Jun 2024
- Pages 1–7
- Source International Conference on Computing, C…
- FWCI 3.36
- Countries 1
- Institutions 1
- Added 05 Nov 2024
- Updated 05 Oct 2026
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Multi-Modal Deception Detection Using Deep Learning
Conference-paper 2024 EN
Following decades of study proving that people cannot reliably discern dishonesty, a strong solution combining gestures, auditory characteristics, and micro-expressions is put forth. This multimodal deep learning system records verbal and nonverbal indicators linked to deceitful conduct by examining speech patterns and facial features. Different categorization models combine MLP (Multi-Layer Perce…
5
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17
References
4
Authors
3.36
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4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Om Uskaikar | Dwarkadas J. Sanghvi College o… (IN) | — |
| 2 | Aditya Sonavane | Dwarkadas J. Sanghvi College o… (IN) | — |
| 3 | Mihir Randive | Dwarkadas J. Sanghvi College o… (IN) | — |
| 4 | Kanchan Dabre | Dwarkadas J. Sanghvi College o… (IN) |
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