Design of a robotic walking stick with mobility assistance control technology (MAVI) for visually impaired people

The investigation of the present research is a new mechatronic system for a robotic unicycle staff that thanks to a meticulous analysis of the new technologies applied to assistance of technological mobility of people with visual disability as an orthopedic walking stick or a walker. We proceed to c...

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Bibliographic Details
Published in:	Materials today : proceedings Vol. 27; pp. 385 - 390
Main Authors:	Arteaga, Oscar, Hurtado, C. Samanta, Terán, Héctor C., Carvajal, Miguel A., Ortíz, Jorge G., Tenezaca, B. Daniel, Morales, V. Hernán
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 2020
Subjects:	Biomechanics Lower extremities MAVI Robotic cane Walking stick Robotic cane Biomechanics Lower extremities MAVI Walking stick
Online Access:	Get full text
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Summary:	The investigation of the present research is a new mechatronic system for a robotic unicycle staff that thanks to a meticulous analysis of the new technologies applied to assistance of technological mobility of people with visual disability as an orthopedic walking stick or a walker. We proceed to contribute with the design of a stick-type mechatronic system coupled to a differential traction platform that facilitates the mobilization of people with motor deficiency by giving them an assistance system to support in the march. It was verified that the design supports the maximum weight established in the parameters of 14[kg] It was shown that the walking stick can be used with people up to a weight of 93[kg]. The performance of the load cells with an experimental work cycle by incorporating an application in Android so the user has a feeling of immersion and to provide the possibility of interacting with the device, being able to establish between the user and the robotic staff a bidirectional transfer in real time of information. The findings of the research, multi-axis load cells will be implemented in the future with a control was applying neural networks to minimize the displacement error.
ISSN:	2214-7853 2214-7853
DOI:	10.1016/j.matpr.2019.11.222