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Augmented Reality Controlled Driving Aid for Electric Wheelchairs
Augmented Reality (AR) is a well-known and highly evolving technology in the past few years with a mixture of real and virtual environment. The AR technology has attracted lots of attention in different field such as engineering, medical, and digital. Computer generated animations and visualizations are presented to the user in the real world with an object detection, tracking, and by augmenting it. AR has been intensively researched over several decades with the purpose of being a great advantage in different fields but has yet to reach a specific purpose to a common audience. As a consideration AR is more over suitable to visualize the context related information but in a broader way could be utilized in the form of a control system by pointing a specific registered object or graphics with a real time application. This thesis presents efforts in bringing Augmented Reality to the biomedical world as a driving aid for electric wheelchairs. Implementing a technology on newly evolved devices like AR glasses and to activate it for a purpose of controlling any hardware system poses a large number of challenges that differ from the requirements of research in traditional purposes. These include: limited device interface resources with little or no possibility to upgrade or add hardware and limited capabilities and functionalities of the AR technology in the area of controlling the hardware systems. The research presented in this thesis addresses these challenges and makes contributions in the following area: Augmented Reality based driving aid for electric wheelchairs.
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