Tracking indoor location and motion for navigational assistance

Authors:
Nektarios Paisios;Alex Rubinsteyn;Lakshminarayanan Subramanian;Matt Tierney;Vrutti Vyas
Affiliations:
New York University, New York, NY, USA;New York University, New York, NY, USA;New York University, New York, NY, USA;New York University, New York, NY, USA;Polytechnic Institute of NYU, New York, NY, USA
Venue:
Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
Year:
2011

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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.