Respiration Rate Detection Based on Thermal Facial Landmark
學年 112
學期 2
發表日期 2024-04-19
作品名稱 Respiration Rate Detection Based on Thermal Facial Landmark
作品名稱（其他語言）
著者 Pei-Ying Lin; Shao-Ying Wu; Chun-Liang Yang
作品所屬單位
出版者
會議名稱 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB)
會議地點 Taipei, Taiwan
摘要 In this article, we present an automated solution for capturing facial expressions, directly extracting changes in respiration temperature, and promptly calculating respiration rates. We use the FLIR Lepton 3.5 thermal camera module for temperature detection and the pre-trained facial recognition model SF-TL54 to conduct the remote detection on the Raspberry Pi 4 Model B desktop computer. The proposed system uses the property of temperature decrease during inhalation and increase during exhalation to determine the respiration rate using the temperature variations. The experiment was conducted to adjust trigger points in real time to minimize errors caused by head movements or environmental changes, thereby enabling immediate respiration rate detection. In breathing cessation, the system displays relevant information directly on the screen.
關鍵字
語言 en_US
收錄於
會議性質 國際
校內研討會地點 淡水校園
研討會時間 20240419~20240421
通訊作者
國別 USA
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126270 )

SDGS 良好健康和福祉,優質教育,產業創新與基礎設施