Lalita NarupiyakulSnit SanghlaoBoonsit YimwadsanaMahidol University2019-08-232019-08-232018-01-01Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.10898 LNCS, (2018), 225-23516113349030297432-s2.0-85049976908https://repository.li.mahidol.ac.th/handle/20.500.14594/45666© 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.Mahidol UniversityComputer ScienceMathematicsConference PaperSCOPUS10.1007/978-3-319-94523-1_20