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      An Elderly Care System Based on Multiple Information Fusion

      research-article
      , , ,
      Journal of Healthcare Engineering
      Hindawi

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          Abstract

          With the development of social economy in the 21st century, and the rising of medical level, the aging of population have become a global trend. However lots of elderly people are in “empty nest” state. In order to solve the problem of high risk of daily life in this group, this paper proposed a method to integrate the information of video images, sound, infrared, pulse, and other information into the elderly care system. The whole system consists of four major components, that is, the main control board, the information acquisition boards, the server, and the client. The control board receives, processes and analyzes the data collected by the information acquisition boards, and uploads necessary information to the server, which are to be saved to the database. When something unexpected occurs to the elderly, the system will notify the relatives through the GPRS (general packet radio service) module. The system also provides an interface for the relatives to inquire the living status of the elderly through an app. The system can monitor the living status for the elderly with the characteristics of quick response, high accuracy, and low cost and can be widely applied to the elderly care at home.

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          Smart homes and home health monitoring technologies for older adults: A systematic review.

          Around the world, populations are aging and there is a growing concern about ways that older adults can maintain their health and well-being while living in their homes.
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            A Review of Computer Vision Techniques for the Analysis of Urban Traffic

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              On the removal of shadows from images.

              This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about lights and cameras leads to a 1D, gray-scale image representation which is illuminant invariant at each image pixel. We show that as a consequence, images represented in this form are shadow-free. We then extend this 1D representation to an equivalent 2D, chromaticity representation. We show that in this 2D representation, it is possible to relight all the image pixels in the same way, effectively deriving a 2D image representation which is additionally shadow-free. Finally, we show how to recover a 3D, full color shadow-free image representation by first (with the help of the 2D representation) identifying shadow edges. We then remove shadow edges from the edge-map of the original image by edge in-painting and we propose a method to reintegrate this thresholded edge map, thus deriving the sought-after 3D shadow-free image.
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                Author and article information

                Contributors
                Journal
                J Healthc Eng
                J Healthc Eng
                JHE
                Journal of Healthcare Engineering
                Hindawi
                2040-2295
                2040-2309
                2018
                15 January 2018
                : 2018
                : 4098237
                Affiliations
                College of Electronic Information, Hangzhou Dianzi University, Hangzhou, China
                Author notes

                Academic Editor: Yong Yang

                Author information
                http://orcid.org/0000-0001-7264-2019
                http://orcid.org/0000-0001-8613-7822
                http://orcid.org/0000-0002-5930-9526
                Article
                10.1155/2018/4098237
                5823425
                05da9bde-78e2-46f1-ad72-d2f8b4aa25a7
                Copyright © 2018 Zhiwei He et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 February 2017
                : 14 May 2017
                : 21 November 2017
                Funding
                Funded by: Natural Science Foundation of Zhejiang Province
                Award ID: LY17F010020
                Funded by: National Natural Science Foundation of China
                Award ID: 61401129
                Categories
                Research Article

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