面部表情识别 (FER) 调查:一个愿景,建筑元素和未来方向
Sana Ullah1, Jie Ou1, Yuanlun Xie1
1School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
PeerJ. Computer science
|June 10, 2024
概括
面部表情识别 (FER) 系统正在迅速发展,影响着各种行业. 本研究探讨了FER技术,应用,挑战和未来的方向,以推动情绪测量方面的创新.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 面部表情识别 (FER) 是计算机视觉中的一个快速发展的领域.
- FER系统在教育,营销,健康和运输方面具有多样化的应用.
- 准确的情绪测量仍然是当前FER研究的一个重大挑战.
研究的目的:
- 提供面部表情识别 (FER) 技术的全面概述.
- 讨论FER领域的建筑元素,应用程序和领先的公司.
- 探索FER与物联网 (IoT) 和云计算的整合,并确定未来的研究方向.
主要方法:
- 系统性审查使用系统性审查和元分析 (PRISMA) 方法的首选报告项目.
- 深入分析当前的FER技术,包括基本和复合情绪识别.
- 考察FER领域的挑战和未来的研究途径.
主要成果:
- 该研究详细介绍了FER系统的基本原则和架构组件.
- 它强调了FER技术的广泛应用和用例.
- 该研究确定了关键挑战,并提出了FER发展的未来方向.
结论:
- 克服FER中确定的挑战对于未来的突破至关重要.
- 将FER与物联网和云计算集成,提供了新的可能性.
- 这项研究旨在指导未来的研究,彻底改变面部表情识别.
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