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Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system

机译:Wize Mirror-智能,多感觉的心脏代谢风险监测系统

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摘要

In the recent years personal health monitoring systems have been gaining popularity, both as a result of the pull from the general population, keen to improve well-being and early detection of possibly serious health conditions and the push from the industry eager to translate the current significant progress in computer vision and machine learning into commercial products. One of such systems is the Wize Mirror, built as a result of the FP7 funded SEMEOTICONS (SEMEiotic Oriented Technology for Individuals CardiOmetabolic risk self-assessmeNt and Self-monitoring) project. The project aims to translate the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, multispectral images, and 3D scans of the face. The multisensory platform, being developed as the result of that project, in the form of a smart mirror, looks for signs related to cardio-metabolic risks. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. This paper is focused on the description of the part of that system, utilising computer vision and machine learning techniques to perform 3D morphological analysis of the face and recognition of psycho-somatic status both linked with cardio-metabolic risks. The paper describes the concepts, methods and the developed implementations as well as reports on the results obtained on both real and synthetic datasets.
机译:近年来,个人健康监测系统越来越受到人们的欢迎,这既得益于广大民众的热捧,他们热衷于改善人们的健康状况并尽早发现可能的严重健康状况,并且业界迫切希望将当前状况转化为现实。计算机视觉和机器学习在商业产品中的重大进步。其中一种系统是Wize Mirror,它是FP7资助的SEMEOTICONS(针对个体心血管代谢风险的自我评估和自我监控的SEMEiotic导向技术)项目的结果。该项目旨在将人脸的符号编码转换为计算描述符和度量,并从视频,多光谱图像和人脸的3D扫描中自动提取出来。作为该项目的结果而开发的多传感器平台,以智能镜的形式,寻找与心脏代谢风险有关的迹象。目标是使用户能够随着时间的流逝自我监控其健康状况,并通过量身定制的用户指南来改善其生活方式。本文着重于对该系统部分的描述,利用计算机视觉和机器学习技术对面部进行3D形态分析并识别与躯体代谢风险相关的心理身体状况。本文介绍了概念,方法和已开发的实现,以及有关在真实和综合数据集上获得的结果的报告。

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