Document Details

Document Type : Thesis 
Document Title :
DETECTME: An IOT Approach for Tracking Wheelchair Positioning in Indoor and Outdoor Environments for Enhancing Healthcare
منهجية إنترنت الأشياء لتتبع مواقع الكراسي المتحركة في البيئة الداخلية والخارجية لتعزيز الرعاية الصحية
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : The goal of using smart wheelchairs in global mobility disability care is now shifting to independent mobility approaches. In order to succeed, this movement necessitates technologies, collaborations and regulations. In developed countries, the use of smart wheelchairs has been made mandatory by the law along with accessible pathways with substantial improvements in the quality and safety of patient care. Contrastingly, developing and underdeveloped countries are still lagging in providing such facilities to the patients and elderly individuals. The Kingdom of Saudi Arabia is in fact, has started utilizing smart technologies matching the needs of the patients, health and medical care providers. Although, technology is a vibrant part of the Kingdom’s society, yet inculcating mobility of disable and older individuals remains unfulfilled and cryptic in practice. Fortunately, the 2030 vision of the Kingdom envisages multidirectional technological advancements using modern technology, of which disability empowerment is one and foremost aspect of the society. In this work, we have developed a system to enable a normal wheelchair to be a smart entitled “DETECTME”. Moreover, DETECTME contains of Hardware and Software that allow utilizing the necessary technologies to track the wheelchair in in indoor and outdoor environments. Our system has been tested and used in the laboratory and in the real environment, mainly at King Abdulaziz University Hospital. The results indicate the potential of DETECTME as an important tool to improve the quality of services in healthcare. 
Supervisor : Dr. Adeeb Noor 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2020 AD
 
Added Date : Monday, May 18, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فهد علي الأحمريAlahmari, Fahad AliResearcherMaster 

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 46107.pdf pdf 

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