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Optimal Assistive Drive System using Mobile Cloud Computing

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Authors:
Sameh A. Salem
10.5120/ijca2019918624

Sameh A Salem. Optimal Assistive Drive System using Mobile Cloud Computing. International Journal of Computer Applications 182(46):45-51, March 2019. BibTeX

@article{10.5120/ijca2019918624,
	author = {Sameh A. Salem},
	title = {Optimal Assistive Drive System using Mobile Cloud Computing},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2019},
	volume = {182},
	number = {46},
	month = {Mar},
	year = {2019},
	issn = {0975-8887},
	pages = {45-51},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume182/number46/30465-2019918624},
	doi = {10.5120/ijca2019918624},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

No one can deny that mobile devices are increasingly becoming an essential part of our lives, and being used for information delivery, access and communication. In this paper, a novel assistive drive system with mobile offloading is proposed. Three effective measures are integrated for reliable and early drowsiness detection, namely behavioral, vehicle, and physiological measures. These measures give higher quality and relevant information. Additionally, the proposed system uses mobile devices to process readings. However, with huge amount of data and intensive computations, mobiles cannot deliver results in reasonable times. A possible approach is to offload computations onto the cloud.

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Keywords

Mobile Cloud Computing, Computational Offloading, Energy Preserving, Fatigue detection, Computer vision.