Posture Detection Based on Kinect and YOLO Technologies-Reference-Cited by-同舟云学术

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Posture Detection Based on Kinect and YOLO Technologies

Published:2023-12-01 Issue: Volume:35.5 Page:205-209
ISSN:
Container-title:2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
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Author:

Li Yulin¹,Zhang Weijia²,Ma Haiping¹,Chen Feiyu¹,Sun Dongqin¹,Cheng Xue¹,Zheng Yuan¹,Wang ZhaoWei³,Cai Shaomin⁴

Affiliation:

1. Shaoxing University,Department of Mathematic and Information Sciences,Shaoxing,China

2. Institute of Artificial Intelligence, Shaoxing University,Shaoxing,China

3. Shaoxing People's Hospital,Department of Neurology,Shaoxing,China

4. Shaoxing University,Department of Medicine,Shaoxing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488913/10488921/10489539.pdf?arnumber=10489539

Reference14 articles.

1. The aging trend of Chinese population and the prediction of aging population in 2015-2050;Yanmei;Chinese Journal of Social Medicine,2018

2. Fall detection system based on real-time pose estimation and SVM

3. Elderly Fall Detection Systems: A Literature Survey

4. Fall Detection in Homes of Older Adults Using the Microsoft Kinect

5. A Depth-Based Fall Detection System Using a Kinect® Sensor

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