@inproceedings{41e22087aef54ca4a63437bc67a6adf7,
title = "Tracking indoor location and motion for navigational assistance",
abstract = "Visually impaired people have a harder time remembering their way around complex unfamiliar buildings, whilst obtaining the help of a sighted guide is not always possible or desirable. By sensing the users location and motion, however, mobile phone software can provide navigational assistance in such situations, obviating the need of human guides. We present a simple to operate and highly usable mobile navigational guide that uses Wi-Fi and accelerometer sensors to help the user repeat paths that were already walked once.",
keywords = "Bayesian filter, Mobile phone, Navigational system, Visually impaired, Wi-Fi localization",
author = "Nektarios Paisios and Alex Rubinsteyn and Matt Tierney and Lakshmi Subramanian and Vrutti Vyas",
year = "2011",
doi = "10.1145/2046396.2046434",
language = "English (US)",
isbn = "9781450307161",
series = "UIST'11 Adjunct - Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology",
pages = "83--84",
booktitle = "UIST'11 Adjunct - Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology",
note = "24th Annual ACM Symposium on User Interface Software and Technology, UIST 2011 ; Conference date: 16-10-2011 Through 19-10-2011",
}