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Deception detection (Pytorch)

Flowchart of deception detection

The overall flowchart for deception detection is illustrated below. We combine many features into a vector and then apply SVM to classification.

Face alignment

Because the face can be many angles, we need to align the face before using it.

User instrctions

Our deception detection system comprises four parts:

  1. 3D landmarks displacement
  2. Emotion Unit
  3. Action Unit

Install Packages

Please see the requirements.txt for more details.

Inference

python lie_GUI.py

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Lie Detection solution by training HTNET model for microexpression on DOLOS Dataset

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