lie-detection

Codigo del Trabajo de Obtención de Grado: Detección de Mentiras a través del Análisis Pupilar: Un Enfoque con ResNet-50

MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to detect deception from multi-channel EEG data.

Testing the Llama 2 capabilities in lie detection tasks.

Automated Multimodal Lie Detection using Deep Neural Networks | A late-fusion deep learning framework combining MFCC audio features and ResNet-18 visual micro-expression analysis on the DOLOS dataset (82% Accuracy).

GDG TechSprint 2025 winning project leveraging Vision Transformers, Whisper ASR, and Gemini AI for multimodal deception detection.

AI 測謊／可信度分析工具：語音轉文字（Whisper）＋語意評分＋通報系統（A GPT-based lie / credibility analysis toolkit for audio & transcripts (Whisper + scoring + alerts).）

Recruitment project for KN Neuron for 2025