期刊
3RD INTERNATIONAL CONFERENCE ON INNOVATION IN ARTIFICIAL INTELLIGENCE (ICIAI 2019)
卷 -, 期 -, 页码 101-105出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3319921.3319955
关键词
sitting posture recognition; BLS; index map; excessive frame
资金
- National Natural Science Foundation of China [61601248]
- Ministry of education cooperation in production and education [201802302115]
- Educational Science Research Subject of China Transportation Education Research Association (Jiaotong Education Research) [1802-118]
- Science and Technology Program of Nantong in 2018
- Nantong University-Nantong Joint Research Center for Intelligent Information Technology [KFKT2017B04]
- National College Student Innovation and Entrepreneurship Training Program [201810304019Z]
The development of modern science and technology has seriously changed people's living and working habits. Bad sitting habit undoubtedly has an important impact on human health. Therefore, this paper proposes a real-time sitting posture recognition algorithm based on index map and BLS model. Firstly, use Kinect to collect body index maps and build self-built sitting posture database; then use SSIM to supervise the change of sitting posture, the BLS is used to recognize the category of sitting posture in real-time; finally, as for the excessive frames in video, this paper proposes double thresholds cascade algorithm to detect excessive frames. The experimental results show that the algorithm proposed can effectively recognize 8 types of sitting postures with the accuracy of 98.58%, the speed of 162fps and effectively detect the excessive frames.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据