通过结合射频识别技术和视频分析来监测服药活动
Monitoring Activity of Taking Medicine by Incorporating RFID and Video Analysis.
作者信息
Hasanuzzaman Faiz M, Yang Xiaodong, Tian Yingli, Liu Qingshan, Capezuti Elizabeth
出版信息
Netw Model Anal Health Inform Bioinform. 2013 Jul 1;2(2):61-70. doi: 10.1007/s13721-013-0025-y.
In this paper, we present a new framework to monitor medication intake for elderly individuals by incorporating a video camera and Radio Frequency Identification (RFID) sensors. The proposed framework can provide a key function for monitoring activities of daily living (ADLs) of elderly people at their own home. In an assistive environment, RFID tags are applied on medicine bottles located in a medicine cabinet so that each medicine bottle will have a unique ID. The description of the medicine data for each tag is manually input to a database. RFID readers will detect if any of these bottles are taken away from the medicine cabinet and identify the tag attached on the medicine bottle. A video camera is installed to continue monitoring the activity of taking medicine by integrating face detection and tracking, mouth detection, background subtraction, and activity detection. The preliminary results demonstrate that 100% detection accuracy for identifying medicine bottles and promising results for monitoring activity of taking medicine.
在本文中，我们提出了一个新的框架，通过结合摄像机和射频识别（RFID）传感器来监测老年人的药物摄入情况。所提出的框架可为在家中监测老年人的日常生活活动（ADL）提供一项关键功能。在辅助环境中，RFID标签被应用于药柜中的药瓶上，以便每个药瓶都有一个唯一的ID。每个标签的药品数据描述被手动输入到数据库中。RFID阅读器将检测这些药瓶中是否有任何一个被从药柜中拿走，并识别贴在药瓶上的标签。安装一个摄像机，通过整合面部检测与跟踪、嘴巴检测、背景减除和活动检测来持续监测服药活动。初步结果表明，药瓶识别的检测准确率为100%，并且在监测服药活动方面取得了有前景的结果。
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