Game Lie Dataset (GLD)

Game Lie Dataset (GLD)是由庞培法布拉大学信息与通信技术系创建的一个包含面部图像的数据集，旨在通过分析面部表情来检测谎言。该数据集包含19名参与者在玩鼓励撒谎的纸牌游戏时的面部记录，涵盖2D和3D信息。数据集的创建过程涉及在受控环境下记录参与者的面部表情，并通过同步视频和注释软件进行数据标注和预处理。GLD数据集的应用领域主要集中在通过机器学习和深度学习技术来提高谎言检测的准确性，特别是在需要高精度识别谎言的场景中。

The Game Lie Dataset (GLD) is a facial image dataset developed by the Department of Information and Communication Technologies, Pompeu Fabra University, designed for deception detection via facial expression analysis. It includes facial recordings of 19 participants playing a card game that incentivizes lying, covering both 2D and 3D information. The dataset was constructed by capturing participants' facial expressions in a strictly controlled environment, followed by data annotation and preprocessing using synchronized video and annotation software. The core application scenarios of the GLD dataset focus on improving the accuracy of deception detection through machine learning and deep learning technologies, especially in scenarios requiring high-precision deception recognition.