真正和深度假面识别:对认知和情绪影响的EEG研究
Pietro Tarchi1, Maria Chiara Lanini1, Lorenzo Frassineti1,2
1Department of Information Engineering, University of Florence, 50139 Florence, Italy.
Brain sciences
|September 28, 2023
概括
这项研究表明,大脑以不同的方式处理真实和深度假面,具有不同的神经活动模式. 这些发现表明,电脑电图 (EEG) 有潜力将真实身份与人工智能产生的身份区分开来.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 人工智能的人工智能
背景情况:
- 精确的面部处理对于社交互动至关重要.
- 深度假冒挑战了区分真实身份和合成身份的能力.
- 了解神经对深度假冒的反应至关重要.
研究的目的:
- 调查认知和情感大脑对真实与深度假面的反应.
- 探索在视觉区分任务中神经参与的差异.
- 评估EEG在检测合成面部方面的潜力.
主要方法:
- 收集了23名健康参与者的脑电图 (EEG) 数据.
- 使用21通道干式EEG耳机获取数据.
- 执行的功率频谱和事件相关潜力 (ERP) 分析.
主要成果:
- 真正的面孔显示了右半球在,α,高β和马波段的优势.
- 深度伪造主要影响了额头和尾三角洲带活动.
- ERP分析表明,通过N250延迟和P100幅度变化,存在潜在的歧视.
结论:
- 大脑活动模式在真实和深度假面人之间有显著差异.
- EEG分析,特别是ERP,可以提供一种识别合成面部的方法.
- 情感内容影响神经处理真实和深度假面的神经处理.
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