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The mobile phone as a platform for assisting the independent living ...

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According to <strong>the</strong> Eye Dise<strong>as</strong>es Prevalence Research Group, without improvements inpreventing and treating eye dise<strong>as</strong>es, <strong>the</strong> number of blind or visually impaired Americans40 and older will grow from 3.4 to 5.5 million in 2020 [21] .Considering <strong>the</strong> above facts, it becomes clear that society should shift towards peoplewith impaired vision. Technological advancement in <strong>the</strong> field of robotics is able toprovide devices and techniques to help people with physical or sensorial restrictions. <strong>The</strong>proposed application is an attempt to create a vision-<strong>as</strong>sistance system <strong>for</strong> people whoexperience problems in vision.7.2 <strong>The</strong> ideaOur aim is to help people with limited sight, <strong>for</strong> example not being able to read <strong>the</strong> labelson medication boxes. <strong>The</strong> b<strong>as</strong>ic idea is to make a <strong>mobile</strong> <strong>phone</strong> or ano<strong>the</strong>r devicerecognise <strong>the</strong> correct medication box that a user should take according to his medicationlist and schedule. With <strong>the</strong> term “recognise” we imply a system that is able to “see” <strong>the</strong>medications labels and “notify” <strong>the</strong> user when <strong>the</strong> appropriate medication is reached.In order to achieve <strong>the</strong> identification of <strong>the</strong> correct medication, we can apply OpticalCharacter Recognition (OCR) on <strong>the</strong> photographs medication boxes. Having succeededin <strong>the</strong> identification, <strong>the</strong> user could be e<strong>as</strong>ily notified by an audio alarm.7.3 OCR on photographs of medication boxesFor <strong>the</strong> part of <strong>the</strong> artificial sight needed <strong>as</strong> described in <strong>the</strong> previous section, we can useOptical Character Recognition (OCR) to extract text and layout in<strong>for</strong>mation fromimages. We developed an application that per<strong>for</strong>ms OCR on photographs of medicationboxes, captured by a <strong>mobile</strong> <strong>phone</strong>’s camera. An example of <strong>the</strong> application is shown in<strong>the</strong> following figure.42

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