Ecole Polytechnique de Montreal, P.O. Box 6079, Station Centre-ville, Montreal, Quebec, Canada, H3C 3A7.
J Med Syst. 2011 Jun;35(3):377-89. doi: 10.1007/s10916-009-9374-6. Epub 2009 Sep 10.
This paper presents a computer vision system for monitoring medication intake in the context of home care services. We use a method based on color and shape to detect the body parts and the medication bottles. Color is used for skin detection, and the shape is used to distinguish the face from the hands and to differentiate bottles of medicine. To track these objects, we use a method based on color histograms, Hu moments, and edges. For the recognition of medication intake, we use a Petri network and event recognition. Our method has an accuracy of more than 75% and allows the detection of the medication intake in various scenarios where the user is cooperative.
本文提出了一种用于家庭护理服务中监测药物摄入的计算机视觉系统。我们使用基于颜色和形状的方法来检测身体部位和药瓶。颜色用于皮肤检测,形状用于区分面部和手部,并区分药瓶。为了跟踪这些对象,我们使用基于颜色直方图、Hu 矩和边缘的方法。对于药物摄入的识别,我们使用 Petri 网络和事件识别。我们的方法准确率超过 75%,可以在用户配合的各种场景下检测药物摄入。