Abstract
In this document, the creation process of an application is detailed that can use various sensors connected and managed by an Arduino UNO board to capture the movement from the extremities in people with limited movement. It is noteworthy to mention that the results of said application are not discussed here but only the creation process is described. The first part is dedicated to describing the hardware required to use the app’s programmed technology. A brief overview of the Arduino platform is also given followed by a description of the sensors used for calculation and capture of people’s movement. The selection of the sensors is justified, and their operation is presented. The second part focuses on the construction of the application starting by offering a synthesized view of the Unity platform up to the development process. Additionally, the basic concepts to generate the 3D models are explained with the purpose of allowing anyone that reads this document to replicate the project in a simple manner.
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Viveros Barrera, N., Salcedo Parra, O.J., Correa Sánchez, L. (2019). Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations. In: Renault, É., Mühlethaler, P., Boumerdassi, S. (eds) Machine Learning for Networking. MLN 2018. Lecture Notes in Computer Science(), vol 11407. Springer, Cham. https://doi.org/10.1007/978-3-030-19945-6_9
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