Employment of Artificial Intelligence Mechanisms with Motion Controllers to Support Accessibility and Usability

Code

• github.com/kucaantunes/Droctor
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• github.com/kucaantunes/MotionControllers
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Abstract

Currently, some applications have accessibility issues not being easy to be used by people with certain disabilities and for certain degrees and also taking in consideration different ages. With the objective to improve the usability of the software for patients with incapacities like visual, auditory, physical, speech, cognitive, language, learning and neurological, this study focuses on the movement of several body parts. The dissertation demonstrates prototypes using software engineering practices with new features when compared to traditional ones, defending a concept of virtual interaction allowing to respond to various needs such as accessibility to people with certain incapacities and adding new features. By using a camera, the software will process the information provided by the environment and use artificial intelligence algorithms for computer vision to interact with the user dynamically, responding to the movements performed. A drone controller via web was developed, offering the possibility to be used by people with different type of disabilities. In order to assure the validity of the methods, a questionnaire was performed, which allowed to analyze the behavior of the users and also was recorded what happens when using with the prototypes for demonstrative purposes, allowing to obtain conclusions about possible processes to improve the functionalities of these type of systems.

Tasks

Reproductions