[HTML][HTML] A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data
Individuals' indoor trajectories can be reconstructed with sensing data for indoor navigation.
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …
An indoor crowd movement trajectory benchmark dataset
In recent years, technologies of indoor crowd positioning and movement data analysis have
received widespread attention in the fields of reliability management, indoor navigation, and …
received widespread attention in the fields of reliability management, indoor navigation, and …
An indoor trajectory frequent pattern mining algorithm based on vague grid sequence
Y Chen, P Yuan, M Qiu, D Pi - Expert Systems with Applications, 2019 - Elsevier
Trajectory frequent pattern mining is an important branch of data mining. The constraint of
indoor space is between Euclid space and road network space, which makes it difficult to …
indoor space is between Euclid space and road network space, which makes it difficult to …
In search of indoor dense regions: An approach using indoor positioning data
As people spend significant parts of daily lives indoors, it is useful and important to measure
indoor densities and find the dense regions in many indoor scenarios like space …
indoor densities and find the dense regions in many indoor scenarios like space …
Semi-supervised learning with network embedding on ambient rf signals for geofencing services
In applications such as elderly care, dementia anti-wandering and pandemic control, it is
important to ensure that people are within a predefined area for their safety and well-being …
important to ensure that people are within a predefined area for their safety and well-being …
A person-to-person and person-to-place COVID-19 contact tracing system based on OGC IndoorGML
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 …
digital person-to-person contact tracing applications that use proximity sensors. In most …
A hierarchical indoor and outdoor model for semantic trajectories
Real‐time mobile crowd‐sourcing data often available in indoor and outdoor environments
offer many opportunities for the analysis of human trajectories. However, this stresses the …
offer many opportunities for the analysis of human trajectories. However, this stresses the …
Finding most popular indoor semantic locations using uncertain mobility data
Knowing popular indoor locations can benefit many applications like exhibition planning
and location-based advertising, among others. In this work, we use uncertain historical …
and location-based advertising, among others. In this work, we use uncertain historical …
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model
J Qin, L Wang, T Wu, Y Li, L Xiang, Y Zhu - Computers, Environment and …, 2024 - Elsevier
The growing ubiquity of location/activity sensing technologies has created unprecedented
opportunities for research on human spatiotemporal interaction behavior in mobile …
opportunities for research on human spatiotemporal interaction behavior in mobile …
Continuous social distance monitoring in indoor space
The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the
spread of the virus, social distancing is one of the most simple yet effective approaches …
spread of the virus, social distancing is one of the most simple yet effective approaches …