- 學位論文
基於熱面部標誌之呼吸頻率偵測
Respiration Rate Detection Based on Thermal Facial Landmark
摘要
自新冠肺炎至今，讓許多人健康意識逐漸抬頭，人口老化趨勢，亦不單單只發生在台灣。在醫療人力支出上可更加吃緊，因應現在台灣現況，發展醫療技術，已是刻不容緩的事情。在此背景下，促使穿戴式裝置使用量提升。這些裝置因監測精度需求而大多需要長期配戴，容易造成使用者不適，而不少人有中斷使用的動作，進而造成個人健康監測記錄不連續，導致醫療行為時數據判讀有一定困難。 本研究使用樹莓派(Raspberry Pi) 4 型號B開發板和FLIR Lepton 3.5紅外線熱像儀，結合影像辨識和面部標誌等AI技術，達成不同臉部角度呼吸頻率檢測的功能，並可作初步呼吸異常判斷，此非接觸檢測方法可有效避免使用者的不適感。 文中說明如何在動態下也能獲取呼吸溫度的變化，補充戴口罩和不戴口罩時呼吸頻率量測上的侷限，並減少量測上錯誤。讓紅外線熱像儀偵測呼吸頻率數據的可行性提升，助於此方式能做為一個症狀診斷上的依據。透過非接觸式的量測，減少傳染疾病的風險。它減少一直使用穿戴式裝置導致的不適感，增加病人舒適度，減少醫護與病人之間的磨擦。
並列摘要
Since the outbreak of the COVID-19 pandemic, health awareness has gradually increased, and the aging population trend is not limited to Taiwan alone. The expenditure on the healthcare workforce is becoming more strained, making the development of medical technology an urgent matter in response to the current situation in Taiwan. In this context, there has been an increase in the usage of wearable devices. However, these devices, which require long-term wearing for monitoring accuracy, can cause discomfort to users, leading to interruptions in use and discontinuity in personal health monitoring records. This, in turn, poses challenges in interpreting healthcare behavior data. This study utilizes the Raspberry Pi 4 Model B development board and FLIR Lepton 3.5 thermal infrared camera. By combining AI technologies such as image recognition and facial landmark detection, it achieves the functionality of detecting respiratory rates from different facial angles and provides preliminary judgment on respiratory abnormalities. This non-contact detection method effectively avoids user discomfort. The paper explains how to capture changes in respiratory temperature even during movement, addressing the limitations of measuring respiratory rates with and without wearing masks and reducing measurement errors. This enhances the feasibility of using a thermal infrared camera to detect respiratory rates and serves as a basis for symptom diagnosis. Through non-contact measurements, this approach reduces the risk of transmitting infectious diseases. It alleviates user discomfort caused by the continuous use of wearable devices, increases patient comfort, and reduces friction between healthcare providers and patients.