An Embedded Non-Contact Body Temperature Measurement System with Automatic Face Tracking and Neural Network Regression

Po Wei Huang, Tzu Hsuan Chang, Meng Ju Lee, Tzu Min Lin, Meng Liang Chung, Bing Fei Wu

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

In the last decade, many advances have been made in the field of automatic temperature estimation, including wearable sensor technologies (WST), infrared thermography (IRT), and non-contact infrared thermometer (NCIT). In contrast with the WST and IRT, NCIT is inexpensive without the risk of potential skin irritation. Nevertheless, NCIT is limited in short valid estimation distance (<12 cm), resulting in the non-satisfaction of the surging application requirements nowadays. This paper proposed an algorithm based on Neural Network Regression not only to reduce the error from 0.6° to 0.12°, which is close to the medical instrument level, but as well to lengthen the valid distance to the range between 50 cm and 100 cm. Furthermore, this study developed an embedded automatic body temperature estimation system which could continuously and unconsciously measure the human temperature in real-Time. Integrated with face tracking and fuzzy-control of Pan-Tilt unit, the system ensures that human face is focused while measuring. With wireless communication techniques, users can review their physiological Information via App and Web, which is beneficial to remote healthcare.

原文英語
主出版物標題2016 International Automatic Control Conference, CACS 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面161-166
頁數6
ISBN(電子)9781509041084
DOIs
出版狀態已發佈 - 七月 10 2017
事件2016 International Automatic Control Conference, CACS 2016 - Taichung, 臺灣
持續時間: 十一月 9 2016十一月 11 2016

出版系列

名字2016 International Automatic Control Conference, CACS 2016

會議

會議2016 International Automatic Control Conference, CACS 2016
國家臺灣
城市Taichung
期間11/9/1611/11/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Control and Optimization

指紋 深入研究「An Embedded Non-Contact Body Temperature Measurement System with Automatic Face Tracking and Neural Network Regression」主題。共同形成了獨特的指紋。

引用此