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相关概念视频

Understanding Deception01:14

Understanding Deception

258
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
258

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相关实验视频

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实时美国手语解释使用深度学习和关键点跟踪.

Bader Alsharif1,2, Easa Alalwany3, Ali Ibrahim1

  • 1Department of Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用人工智能的实时美国手语 (ASL) 解释系统. 该技术提高了聋人和听力障碍者 (DHH) 社区的通信可访问性.

关键词:
人工智能用于可访问性媒体管道 (MediaPipe) 是一个媒体管道.在YOLO11上,你会发现YOLO11是什么意思.辅助技术是指辅助技术的使用.深度学习是一种深度学习.人与计算机的互动.实时的ASL识别实时的ASL识别转移学习转移学习

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 辅助技术 辅助技术 辅助技术

背景情况:

  • 沟通障碍对聋人和听障者 (DHH) 社区产生重大影响.
  • 辅助技术,特别是使用人工智能和深度学习的技术,对于弥合这些沟通差距至关重要.
  • 现有的解决方案经常面临准确性,实时处理和环境适应性方面的挑战.

研究的目的:

  • 开发和评估一个实时的美国手语 (ASL) 解释系统.
  • 加强DHH社区的沟通可访问性和包容性.
  • 利用深度学习和关键点跟踪来准确识别ASL.

主要方法:

  • 整合了YOLOv11模型,用于强大的手势识别.
  • 使用MediaPipe进行精确的手和关键点跟踪.
  • 开发了一个实时识别ASL字母表字母和拼写的系统.

主要成果:

  • 在实时ASL字母识别中实现了高精度.
  • 显示了98.2%的平均平均精度 (mAP@0.5).
  • 优化推断速度,以便在实际,现实世界中进行部署.

结论:

  • 人工智能驱动的辅助技术在赋予DHH社区权力方面发挥着至关重要的作用.
  • 开发的系统为无通信提供了一个实用的解决方案.
  • 这项研究通过先进的解释技术促进了更大的包容性.