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首页> 外文会议>IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability >Developing A Parser Framework based on OpenPose Skeleton Detection
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Developing A Parser Framework based on OpenPose Skeleton Detection

机译：基于调平骨架检测开发解析器框架

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摘要

Artificial Intelligence (AI) as a field of research and interest has been around for quite a long time. With the current state of technology, AI has been utilized in various fields, such as vehicle automation in the automotive, disease preliminary detection in medical, and cybersecurity in information technology. Spatial recognition has become popular owing to the rapid hike in computing power and as a result, real-world applications are starting to appear. In developed countries around the world, particularly those upgraded from developing nations, all faced the problem of the aging population. Based on the lack of frameworks available when using a state-of-the-art pose estimation of OpenPose, the research looks into building a framework to lower the bar of entering the utilization of OpenPose, thus creating opportunities for people without knowledge on data preparation. The framework used by a group of high schoolers proved the ease of access useful for the relative tech-illiterate group and bridging the gap between them and the higher education.
机译：人工智能（AI）作为研究和兴趣领域已经存在了很长时间。利用当前的技术状态，AI已在各种领域中使用，例如汽车自动化在汽车，医学疾病初步检测和信息技术中的网络安全。由于计算能力的快速徒步旅行，空间识别变得流行，因此，现实世界应用开始出现。在世界各地的发达国家，特别是那些从发展中国家升级的国家，都面临着老龄化人口的问题。基于缺乏框架使用时使用的框架估计，研究朝来建立一个框架，以降低进入透明利用的酒吧，从而为没有关于数据准备了解的人创造了机会。一群高中学员使用的框架证明了对相对技术文盲组的易用性，并弥合他们与高等教育之间的差距。

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