Indoor environment model reconstruction has emerged as a significant and challenging task
in terms of the provision of a semantically rich and geometrically accurate indoor model …

With the wide availability of low-cost proximity sensors, a large body of research focuses on
digital person-to-person contact tracing applications that use proximity sensors. In most …

The growing ubiquity of location/activity sensing technologies has created unprecedented
opportunities for research on human spatiotemporal interaction behavior in mobile …

The recent advances in smart building technologies have enabled us to collect massive Wi-
Fi network based trajectory data, which provide an unparalleled opportunity for …

Modern and connected mobilities have generated an explosive growth of location-based
information. Such location data together with related crowd-sensed information, are …

Environmental changes influence society and this impact extends to businesses across
several sectors. The risks linked with environmental changes have both advantages and …

The conditions and context in which pedestrians are exposed to the risk of road accidents,
air pollution or epidemy are important for improving safety. Spatial information on pedestrian …

The widespread acceptance of context-sensing applications is generating voluminous
movement data on high speed, which has fueled research studies in mining of spatio …

Abstract The Internet of Things (IoT) has recently been applied in the domain of cultural
exhibition enabling the cultural sites to provide more personal and proactive experiences to …

We implemented the semantic models required to develop an indoor navigation system to
assist the movement of users with different physical mobility conditions inside the building of …