Blind people are confronting a number of challenges in performing activities of daily life such
as reading labels on a product, identification of currency notes, exploring unknown spaces …

Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

In this work, we present three classes of methods to extract information from triangulated
mobile phone signals, and describe applications with different goals in spatiotemporal …

ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …

With the large-scale adoption of GPS equipped mobile sensing devices, positional data
generated by moving objects (eg, vehicles, people, animals) are being easily collected …

Due to the emergence of geolocated applications, more and more mobility traces are
generated on a daily basis and collected in the form of geolocated datasets. If an …

With the advent of GPS-equipped devices, a massive amount of location data is being
collected, raising the issue of the privacy risks incurred by the individuals whose movements …

Driven by the advance of positioning technology and the popularity of location-sharing
services, semantic-enriched trajectory data have become unprecedentedly available. The …

Conventional cellular systems are designed to ensure ubiquitous coverage with an always
present wireless channel irrespective of the spatial and temporal demand of service. This …

Several works have been proposed in the last few years for raw trajectory data analysis, and
some attempts have been made to define trajectories from a more semantic point of view …