A Highly Accurate and Reliable Data Fusion Framework for Guiding the Visually Impaired

The world has approximately 253 million visually impaired (VI) people according to a report by the world health organization (WHO) in 2014. Thirty-six million people are estimated to be blind. According to WHO, 217 million people are estimated to have moderate to severe visual impairment. An importa...

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Vydané v:	IEEE access Ročník 6; s. 33029 - 33054
Hlavní autori:	Elmannai, Wafa M., Elleithy, Khaled M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Acoustics Algorithms Assistive technology Assistive wearable devices Blindness Collision avoidance Computer vision computer vision systems data fusion algorithm Data integration Developing countries Fuzzy logic LDCs mobility limitation Navigation Object recognition Obstacle avoidance obstacle detection and obstacle collision avoidance Real-time systems sensor-based networks Sensors Visual aspects Visual impairment Visualization
ISSN:	2169-3536, 2169-3536
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Abstract	The world has approximately 253 million visually impaired (VI) people according to a report by the world health organization (WHO) in 2014. Thirty-six million people are estimated to be blind. According to WHO, 217 million people are estimated to have moderate to severe visual impairment. An important factor that motivated this research is the fact that 90% of VI people live in developing countries. Several systems were designed to improve the quality of the life of VI people and support their mobility. Unfortunately, none of these systems are considered to be a complete solution for VI people and these systems are very expensive. We present in this paper an intelligent framework for supporting VI people. The proposed work integrates sensor-based and computer vision-based techniques to provide an accurate and economical solution. These techniques allow us to detect multiple objects and enhance the accuracy of the collision avoidance system. In addition, we introduce a novel obstacle avoidance algorithm based on the image depth information and fuzzy logic. By using the fuzzy logic, we were able to provide precise information to help the VI user in avoiding front obstacles. The system has been deployed and tested in real-time scenarios. An accuracy of 98% was obtained for detecting objects and 100% accuracy in avoiding the detected objects.
AbstractList	The world has approximately 253 million visually impaired (VI) people according to a report by the world health organization (WHO) in 2014. Thirty-six million people are estimated to be blind. According to WHO, 217 million people are estimated to have moderate to severe visual impairment. An important factor that motivated this research is the fact that 90% of VI people live in developing countries. Several systems were designed to improve the quality of the life of VI people and support their mobility. Unfortunately, none of these systems are considered to be a complete solution for VI people and these systems are very expensive. We present in this paper an intelligent framework for supporting VI people. The proposed work integrates sensor-based and computer vision-based techniques to provide an accurate and economical solution. These techniques allow us to detect multiple objects and enhance the accuracy of the collision avoidance system. In addition, we introduce a novel obstacle avoidance algorithm based on the image depth information and fuzzy logic. By using the fuzzy logic, we were able to provide precise information to help the VI user in avoiding front obstacles. The system has been deployed and tested in real-time scenarios. An accuracy of 98% was obtained for detecting objects and 100% accuracy in avoiding the detected objects.
Author	Elleithy, Khaled M. Elmannai, Wafa M.
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Snippet	The world has approximately 253 million visually impaired (VI) people according to a report by the world health organization (WHO) in 2014. Thirty-six million...
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SubjectTerms	Accuracy Acoustics Algorithms Assistive technology Assistive wearable devices Blindness Collision avoidance Computer vision computer vision systems data fusion algorithm Data integration Developing countries Fuzzy logic LDCs mobility limitation Navigation Object recognition Obstacle avoidance obstacle detection and obstacle collision avoidance Real-time systems sensor-based networks Sensors Visual aspects Visual impairment Visualization
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Title	A Highly Accurate and Reliable Data Fusion Framework for Guiding the Visually Impaired
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Volume	6
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