Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Opioid prescribing after nonsurgical root canal therapy: Findings from The National Dental Practice-Based Research Network.

Journal of the American Dental Association (1939)·2026
Same author

Building confident cohesive stroke response teams: Design, implementation and outcomes of a stroke code simulation training program for interprofessional teams in LMIC.

eNeurologicalSci·2026
Same author

Advances in CRISPR/Cas systems for engineering abiotic stress tolerance in plants: mechanisms and future prospects.

Planta·2026
Same author

American Dental Association and American Academy of Oral and Maxillofacial Radiology patient selection for dental radiography and cone-beam computed tomography: Clinical recommendations.

Oral surgery, oral medicine, oral pathology and oral radiology·2026
Same author

Biofilm Formation and Antibiotic Resistance in Orthopaedic Implant Infections: A Molecular Analysis of icaA, icaD, and mecA Genes in an Indian Cohort.

Indian journal of orthopaedics·2026
Same author

An assessment of grazing associated elevation of heat stress during hot humid summer in sedentary and migratory goat breeds of Jammu region.

Tropical animal health and production·2026

相关实验视频

Updated: Jun 23, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

559

走向基于视觉的智能系统:一个堆叠的编码深度学习框架,用于手语识别.

Muhammad Islam1, Mohammed Aloraini1, Suliman Aladhadh2

  • 1Department of Electrical Engineering, College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
概括

本研究介绍了一种基于人工智能和物联网的堆叠编码模型,用于改进手语识别. 这种新的方法显著提高了准确性,并降低了计算成本,以提高可访问性.

关键词:
阿拉伯手语手语识别系统计算机视觉 计算机视觉卷积神经网络的神经网络.深度学习是一种深度学习.图像处理是图像处理的过程.机器学习是机器学习.

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K

相关实验视频

Last Updated: Jun 23, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

559
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 物联网的物联网,就是物联网.

背景情况:

  • 手语识别系统在高假阳性率和计算需求方面扎.
  • 现有的深度学习方法需要对实际应用进行进一步的优化.

研究的目的:

  • 利用人工智能 (AI) 和物联网 (IoT) 开发一种高效准确的手语识别模型.
  • 解决当前手语识别技术中特征提取和分类准确性的局限性.

主要方法:

  • 一个堆叠的编码模型,包含一个轻量级的骨干,用于初始特征提取.
  • 堆叠的自动编码器被用于高级功能改进.
  • 人工智能与物联网的整合,用于可扩展的大数据处理.

主要成果:

  • 拟议的模型在准确性,精度,回忆和F1得分方面取得了显著的改进.
  • 复杂性分析表明,与现有方法相比,计算成本降低.
  • 在ArSL2018基准数据集上,与最先进的方法相比,观察到更好的表现.

结论:

  • 人工智能-物联网堆叠编码模型为手语识别挑战提供了强大的解决方案.
  • 该方法显示了高性能,现实世界的应用程序的可持续发展的潜力.
  • 通过废除研究的验证证实了该模型在所有指标上的有效性.