Digital Controller for an Electric Wheelchair Based on a Low-Cost Hardware

2015 ◽  
Vol 13 (10) ◽  
pp. 3221-3227 ◽  
Author(s):  
Roberto Morales Caporal ◽  
Aldo Vazquez Leon ◽  
Rafael Ordonez Flores ◽  
Edmundo Bonilla Huerta ◽  
Jose Crispin Hernandez Hernandez
2020 ◽  
Vol 2 (6) ◽  
pp. 55-59
Author(s):  
Arghya Guha ◽  
Bodha Krishna ◽  
Gautham M Sam ◽  
Mekala Serena Sherrilyn ◽  
Sivakumar N
Keyword(s):  
Low Cost ◽  

Author(s):  
Ahmed Maksud ◽  
Rakibul Islam Chowdhury ◽  
Tanima Tasmin Chowdhury ◽  
Shaikh Anowarul Fattah ◽  
Celia Shahanaz ◽  
...  

2017 ◽  
Vol 3 (2) ◽  
pp. 248-250 ◽  
Author(s):  
Maria Elizete Kunkel ◽  
Filipe Loyola Lopes ◽  
Henrique Alves De Amorim

2020 ◽  
Vol 11 (3) ◽  
pp. 880
Author(s):  
Chadi Fouad Riman

The aim of this project is to ease mobility for people with upper and lower disability in order to live independently. This paper presents the design steps and specification to a low cost hands free eye-blink controller to control and electric wheelchair. Nowadays, people are using joystick to control motorized wheelchair. The eye-blink controller technology gives an alternative solution to mobility problem; especially for the people who are quadriplegics. By interfacing eye-blink controller, the directions of the wheelchair are controlled. This report will provide the designing step, related solutions, and component details and specifications.


2015 ◽  
Vol 789-790 ◽  
pp. 652-657 ◽  
Author(s):  
Bong Keun Kim ◽  
Hideyuki Tanaka ◽  
Yasushi Sumi

In this paper, a low cost robotic wheelchair system with only a pan-tilt camera is explained. In order to reduce the development cost, an electric wheelchair using a visual marker which is capable of achieving a high level of precision in positioning an electric wheelchair without geometric features is proposed. Then, indoor navigation methods are explained, which enable automatic and hybrid navigation of an electric wheelchair with only a pan-tilt camera. Finally, experiment results obtained by considering a particular scenario for indoor navigation reveal the feasibility of the proposed robotic wheelchair system.


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