在LieWaves上使用五通道可穿戴EEG进行欺骗检测:对主体依赖和主体独立评估的可重现基线
Șerban-Teodor Nicolescu1, Felix-Constantin Adochiei2, Florin-Ciprian Argatu2
1Doctoral School of Electrical Engineering, Faculty of Electrical Engineering, National University of Science and Technology Politehnica Bucharest (NUSTPB), 060042 Bucharest, Romania.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
使用可穿戴EEG检测欺骗是具有挑战性的. 这项研究发现,五通道EEG的个人独立准确性有限 (66.70%),这表明当前的技术尚未准备好用于可靠的欺骗检测.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 机器学习 机器学习
背景情况:
- 使用脑电图 (EEG) 检测欺骗是一个活跃的研究领域.
- 可穿戴的EEG设备提供便携性,但往往具有有限的通道,这给一般化带来了挑战.
- 现有的协议需要适用于便携式设备,并在个人之间进行泛化.
研究的目的:
- 为了评估五通道可穿戴电脑脑电图对谎言真相歧视的有效性.
- 在主体独立和主体依赖的设置中评估概括能力.
- 在不同的评估设计下比较绩效指标.
主要方法:
- 利用了公开的LieWaves数据集,其中包括27名受试者和五通道的Emotiv Insight耳机.
- 采用了带有挤压和激发块的剩余网络 (ResNet-SE) 来进行主题独立的评估.
- 使用剩余时间卷积网络与挤压和刺激和注意力 (Res-TCN-SE-Attention) 进行主体依赖的评估,将原始EEG与DWT和手工制作的功能融合在一起.
主要成果:
- 在对象独立的评估中,获得了66.70%的会话级准确度和未见对象的AUC值为0.58.
- 取决于主体的评估达到了99.94%的窗口级准确度,但这反映了乐观的评估条件.
- 绩效受到评估设计的重大影响,突出了现实世界概括方面的挑战.
结论:
- 五通道可穿戴EEG显示在LieWaves数据集中的有限,高于机会的谎言真相分离性.
- 目前的方法远远不适合部署,原因是不良的人独立概括.
- 标准化的协议和明确的报告对于可重复的欺骗检测研究至关重要.
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