Publication Type:

Conference Paper

Source:

2016 International Conference on Communication and Signal Processing (ICCSP), IEEE, Melmaruvathur, India (2016)

URL:

https://ieeexplore.ieee.org/document/7754343

Keywords:

Arduino, auto-navigated wheelchair, Counting circuits, Distance estimation, embedded system, Embedded systems, fixed path navigation, Global positioning system, handicapped aids, indoor navigation, Integrated circuits, Microcontrollers, MOC7811, Navigation, paraplegia, path navigation, quadriplegia, Raspberry Pi, rotation encoder, Wheelchairs, Wheels

Abstract:

A Navigation Platform assists individuals whose degree of disability is high. In this paper a low cost auto-navigated wheelchair is designed for patients suffering from paraplegia or quadriplegia (paralysis caused by illness or injury), which uses cheaper components that assists navigation. Here a comparative study on fixed path navigation is done in embedded platforms such as Arduino and Raspberry Pi. The design works on the principle of Distance Estimation. The distance estimation is done with the help of rotation encoder with MOC 7811 IC with the pulse counting circuit placed at one of the wheelchair motors. The comparative study shows that in terms of controlling extra hardware the better performer is the Arduino platform as compared to the Raspberry Pi platform, whereas for compiling bigger algorithms Raspberry Pi is better. Various test runs were conducted by navigating through different rooms in a building and the results were plotted by using both the platforms.

Cite this Research Publication

J. M. Varghese and Rajesh Kannan Megalingam, “Study and Analysis of Embedded System based Indoor Navigation on Multiple Platforms”, in 2016 International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2016.

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.