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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 SEME0T1C0NS (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，个人健康监测系统已受到广泛欢迎，这是由于受到大众欢迎，渴望改善人们的健康状况以及对可能的严重健康状况进行早期检测以及行业急切希望改变当前状况的结果。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，它是由FP7资助的SEME0T1C0NS（针对个体心血管代谢风险的SEMEiotic面向技术的风险自我评估和自我监控）项目的成果。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，并确定与躯体代谢风险相关的心理躯体状态。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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  • 来源
    《Computer vision and image understanding》 |2016年第7期|3-22|共20页
  • 作者

    Yasmina Andreu; Franco Chiarugi; Sara Colantonio; Giorgos Giannakakis; Daniela Giorgi; Pedro Henriquez; Eleni Kazantzaki; Dimitris Manousos; Kostas Marias; Bogdan J. Matuszewski; Maria Antonietta Pascali; Matthew Pediaditis; Giovanni Raccichini; Manolis Tsiknakis;

  • 作者单位

    Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences, University of Central Lancashire, PR1 2HE Preston, UK;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Institute of Information Science and Technologies, National Research Council of Italy, Via C. Moruzzi 1, 56124 Pisa, Italy;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Institute of Information Science and Technologies, National Research Council of Italy, Via C. Moruzzi 1, 56124 Pisa, Italy;

    Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences, University of Central Lancashire, PR1 2HE Preston, UK;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences, University of Central Lancashire, PR1 2HE Preston, UK;

    Institute of Information Science and Technologies, National Research Council of Italy, Via C. Moruzzi 1, 56124 Pisa, Italy;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece;

    Institute of Information Science and Technologies, National Research Council of Italy, Via C. Moruzzi 1, 56124 Pisa, Italy;

    Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), N. Plastira 100, Vassilika Vouton, CR-700 13, Heraklion, Crete, Greece,Technological Educational Institute of Crete, Biomedical Informatics and eHealth Laboratory, Estavromenos, CR-71004, Heraklion, Crete, Greece;

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  • 正文语种 eng
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  • 关键词

    Unobtrusive health monitoring; 3D face detection; Tracking and reconstruction; 3D morphometric analysis; Psycho-somatic status recognition; Multimodal data integration;

    机译：健康的监测3D人脸检测;跟踪和重建;3D形态分析;心身状态识别;多模式数据集成;

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