基于人体动作识别的交互式视觉屏幕嵌入式人工智能系统。

Duan Chi, Wang Zhi, Hao Luo, Fengfa Li, Lianzhong Sun
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引用次数: 1

摘要

近年来,由于近视严重影响学龄儿童,在全球范围内(每年一次)出现了在小学和高中就业的视力筛查。然而,这是一项费力而耗时的任务。本文提出了一种智能的“自助”视力筛查系统。个人可以独立完成这项任务,无需任何技术人员的帮助。该平台涉及的技术解决方案是通过姿态估计实现人体动作识别(图像中人体关节的实时定位,包括检测、关联和跟踪)。开发的系统基于一个紧凑的嵌入式人工智能平台,辅以红-绿-蓝- d传感器进行测距和姿态提取。设计了一套直观的上肢动作,用于明确的识别和交互。该智能系统的部署为大规模、快速的视觉筛查带来了极大的便利。详细描述了实现细节,实验结果证明了该技术的有效性。
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Embedded AI system for interactive vision screen based on human action recognition.
In recent years, vision screening has emerged globally for employment (on a yearly basis) within primary and high schools since myopia heavily affects school-aged children. However, this is a laborious and time-consuming task. This article proposes an intelligent system for "self-service" vision screening. Individuals can accomplish this task independently-without any assistance by technical staff. The technical solution involved within this platform is human action recognition realized by pose estimation (real-time human joint localization in images, including detection, association, and tracking). The developed system is based on a compact and embedded artificial intelligence platform, aided by a red-green-blue-D sensor for ranging and pose extraction. A set of intuitive upper-limb actions was designed for unambiguous recognition and interaction. The deployment of this intelligent system brings great convenience for large-scale and rapid vision screening. Implementation details were extensively described, and the experimental results demonstrated efficiency for the proposed technique.
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