Document Details

Document Type : Thesis 
Document Title :
SMART SENSING AND TRACKING OF PERSONAL MOBILITY DEVICE FOR DISABLED THROUGH SMARTPHONE
الاستشعار الذكي وتتبع جهاز التنقل الشخصي للمعاقين من خلال الهاتف الذكي
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : Personal mobility device (PMD) refers to a personalized vehicle intended to use by an individual in the locomotion. They are compact and mostly motorized but are barred from requirement of road license. There has been an increased number and types of PMDs. Wheelchair, scooter, unicycle, hoverboard, skateboard, etc., are considered as PMDs; but the wheelchair is regarded as medical device that is mostly used by disabled and elderly people. When a keyword for wheelchair is searched on internet browser, the search engine returns with more than 1.8 billion. Such a big number is an indicator of a large group of people interested in the wheelchair. Meaning that, the larger interest corresponds to greater demand. Recent statistics shows that 1 in 4 of Americans have a disability that impacts major life activities and number could be much more in the population of developing and poor nations. The people with disability are trying to move independently for schools, work places, markets and other places of their interest. Therefore, they are needed by a mobility aid which is safe, comfortable and affordable. In this work, the development of navigation and control system for an electrically powered wheelchair is reported. The system requires popularly used smartphone Arduino Uno board, motor driver, joystick and proximity sensor. For navigation and tracking the destination, mobile application software is developed on Android platform. Arduino platform was used as microcontroller for interfacing the sensors and electric motor driver board. The system was tested for the safe speed limits, operational skill and safety issues. From the tests it is found that the navigation and control of the wheelchair is efficient, affordable and reliable. 
Supervisor : Dr. Prahlad Rao Kalyanrao 
Thesis Type : Master Thesis 
Publishing Year : 1440 AH
2019 AD 
Co-Supervisor : Dr. Naif Daefalla Alotaibi 
Added Date : Wednesday, August 21, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
بدر دخيل الله الرشيديAlrashdi, Bader Dakhil AllahResearcherMaster 

Files

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 44915.pdf pdf 

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