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Effectiveness of Sensors for an Arduino Microcontroller: Initial Comparisons

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Mohd Heikal Husin, Goh Yao Chang, Lim Yang Kwang, Wan Yik Mun
10.5120/ijca2017914968

Mohd Heikal Husin, Goh Yao Chang, Lim Yang Kwang and Wan Yik Mun. Effectiveness of Sensors for an Arduino Microcontroller: Initial Comparisons. International Journal of Computer Applications 171(2):7-13, August 2017. BibTeX

@article{10.5120/ijca2017914968,
	author = {Mohd Heikal Husin and Goh Yao Chang and Lim Yang Kwang and Wan Yik Mun},
	title = {Effectiveness of Sensors for an Arduino Microcontroller: Initial Comparisons},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {171},
	number = {2},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {7-13},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume171/number2/28151-2017914968},
	doi = {10.5120/ijca2017914968},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Blindness or visual impairment has caused many difficulties for people who are suffering from such disability especially in determining obstacles and even notifying others when they are walking around at night. As such, a traditional walking cane is no longer a good aid for such users to use during their daily activities. There are several existing smart canes that are equipped with either one or two sensors that enhances the overall usage experience for the users. But, most of the existing canes implement only an obstacle detection sensor that limits the overall functionality of the cane. To overcome these weaknesses, we have proposed the development of a cane coupled with an Arduino board that includes additional sensors such as a temperature and light sensor that provides more information to the visually impaired. Due to the essential role that such sensors play for the enhancement of the proposed smart cane technology, the aim of this paper is to explore and initially identify effective sensors that is readily available for the mentioned microcontroller.

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Keywords

Assistive technology; microcontrollers; obstacle detection sensor; temperature sensor; light sensor