人體紅外線室內活動偵測照護系統之研發
黃義良、王怡又
doi:10.6283/JOCSG.201903_7(1).491
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中文摘要 本研究旨在研發能同時偵測離床與多種徘徊狀況的整合系統目標對象為高齡族、失能者或幼童。系統採微型紅外線感測器，利用藍芽傳送到智慧型手持裝置，經App顯示受照護者的離床與室內徘徊狀況，搭配FCM雲端免費推播功能，讓遠端的第三方了解受照護者離床與室內徘徊狀況。手持裝置可同時監控6顆藍芽裝置，感測器預期設計於離床、門邊、窗戶與樓梯口等位置，並連結於藍芽電源開關以開啟照明，且提供手動服務鈴等功能，經實際測試辨識正確率為86.0%，有效感測熱區為人體距離60公分與寬幅80公分以內。本系統全程無需付費，無須主機系統，適用任一床具或床墊，可重複使用，費用低，能以最低成本解決照護者的工作負荷，提升受照護者的尊嚴，強化家人的溝通與關懷。
關鍵字：徘徊偵測、藍芽、離床、App、FCM
文章建立時間：2019-07-26
引用格式(APA)：
黃義良、王怡又(2019)。 人體紅外線室內活動偵測照護系統之研發。
福祉科技與服務管理學刊， 7(1)， 73-85。
Research and Development of Integrated Care System for Multipoint Detection of Out-of-bed and Loitering
Huang, Y.-L., Wang, I.-Y.
English Abstract This research project aims to develop an integrated care system that can detect both out-of-bed and multiple loitering conditions. The device designed is expected to be suitable for the elderly, disabled or young children, and lowers the workload of caregivers. The main component of the system is a smart handheld device that incorporates a micro infrared sensor and adopts Bluetooth for transmission. A corresponding App is expected to present the out-of-bed and indoor loitering conditions of care receivers. A FCM cloud free push function allows a third party to remotely access the real-time dynamics of care receivers. The handheld device promises to monitor 6 Bluetooth programs at the same time, and its sensors are designed to be located at places like bed, door frame, window and stairway, and linked to a Bluetooth-controlling switch to turn the lights on simultaneously and provide such functions as manual service bell. An actual test showed an accuracy rate of 86.0%; the effective sensing hot zone is within 60cm from the human body and within 80cm width. The system requires no fee and host system and is suitable for any kind of bed or mattress. The reusability of sensors further decreases the cost of use. It can solve the workload of caregivers at the lowest cost, uplift the dignity of care-receivers and strengthen family communication and care.Keywords：Loitering detection, Bluetooth, Out-of-bed, App, FCM