Publication: An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint
Issued Date
2018-01-01
Resource Type
ISSN
16113349
03029743
03029743
Other identifier(s)
2-s2.0-85049976908
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Mahidol University
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SCOPUS
Bibliographic Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.10898 LNCS, (2018), 225-235
Suggested Citation
Lalita Narupiyakul, Snit Sanghlao, Boonsit Yimwadsana An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.10898 LNCS, (2018), 225-235. doi:10.1007/978-3-319-94523-1_20 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/45666
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Title
An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint
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Abstract
© Springer International Publishing AG, part of Springer Nature 2018. Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.