(Roser 2016) In the coming half century, as a result of these factors, we will see dramatic population aging. Today a 50-year old is expected to live over 20 years longer than in 1845. Higher ages mortality patterns have also changed. The decline of child mortality (death before the fifth birthday) has had a big impact on life expectancy but a five-year olds life expectancy has still increased significantly within the last century. 2014) In the beginning of the 20th century life expectancy was perhaps 30 years, a hundred years later it has raised to 65 years (Cohen 2003, 1173-1174). In the year 2100 world population is estimated to be between 9.0 and 13.2 billion. Year 2012 world population was 7.2 billion. VAAL - Video based solutions for Active and Assistive living OpenCV - Open Source Computer Vision, a library aimed for real-time computer vision MOG2 - A variation of Zivkovic (2004 & 2006) AGMM, included in OpenCv IADL - Instrumental activities of daily living 7.2 Project plan - Linux project (ICT4TN018 Haaga-Helia course)ĪDL/IADL - ADL and IADL combined, ability to function at home.Keywords: opencv, computer vision, machine vision, fall detector, python, raspberry pi, home care.Haaga-Helia University of Applied Sciences, Finland.Improving safety for home care patients with a low cost computer vision solution.If you are reading this in paper format please consider reading it in your browser where links work at: This solution also does not need costly installations or costly hardware. The patient does not need to remember to put the detector on, charge it or anything else, which is convenient for the target group that suffers from dementia. This system uses computer vision to detect persons and their actions. After the detection the system will be able to alert professional personnel or family. This feeling of safety can increase the persons ability to perform daily routines at home. The proposed system will provide security and a feeling of safety by detecting when a resident suffers from a fall. This thesis proposes an automatic monitoring system for formal and informal home care patients and care centers. They need automatic monitoring to feel safe at home. This is problematic because they are afraid of falling. That is why elderly people need to live longer at home. The world has a problem: hospitals are filling up. Thesis - Improving safety for home care patients with a low cost computer vision solution
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