An AI-Powered Lie Detection System Using Facial Micro-Expressions
提出基于面部微表情的AI测谎系统,并与测谎仪及人工判断作比较。
这篇论文暂时没有中文摘要,下面保留英文原题与摘要。
研究信息
- 期刊 / 来源
- IJARCCE
- 发表日期
- 2026-10-30
- 文献库
- OpenAlex
- 作者
- Mrs. Recharla Surendra Geethanjali, Aditya Prakash Masabinal, Bharath Kumar S C
- DOI
- 10.17148/ijarcce.2026.1510134
英文原文摘要全文
Deciding whether a person is telling the truth matters in security screening, forensic questioning, recruitment interviews, and fraud inquiries, yet the available instruments are weak.The polygraph demands attached sensors and a trained operator, and unaided human judges perform only marginally above chance.Micro-expressions, which are involuntary facial movements lasting roughly a twenty-fifth to a fifth of a second, give a contactless cue, but they pass too quickly for people to follow reliably.This paper describes the design and prototype of a video-based deception analysis system built aro
中文摘要由自动翻译整理,可能丢掉原文的限定条件;涉及具体数字与结论时以英文原文为准。
这条研究涉及的词条
职业倦怠
由长期工作压力导致的三维综合征:情绪耗竭、去人格化(疏离)、个人成就感降低。
注意缺陷多动障碍
以与年龄不相称的注意缺陷、多动与冲动为核心,症状需在多个情境中出现并造成功能损害。
同一天收录的其它研究
内容用于快速浏览;学术引用与结论判断请以英文原文为准。