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deception_detection's Introduction

Deception detection (Pytorch)

ICSSE 2020 : Face Expression and Tone of Voice for Deception System (Award of best student paper)

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
  4. Emotion Audio unit

Install Packages

Please see the requirements.txt for more details.

Dataset

Real-life trial dataset:

121 videos including 61 deceptive videos and 60 truth videos related paper

Bag-of-lies dataset:

325 videos including 162 deceptive videos and 163 truth videos related paper

MSPL-YTD dataset:

145 videos including 62 deceptive videos and 83 truth videos

  • Note: If you would like access to the above datasets, please contact the authors who provided the dataset, respectively.

GUI demo

image

Inference

python lie_GUI.py

deception_detection's People

Contributors

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Stargazers

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Watchers

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