Towards crowd-aware indoor path planning (extended version)

T Liu, H Li, H Lu, MA Cheema, L Shou - arXiv preprint arXiv:2104.05480, 2021 - arxiv.org
Indoor venues accommodate many people who collectively form crowds. Such crowds in
turn influence people's routing choices, eg, people may prefer to avoid crowded rooms when …

IMO: A toolbox for simulating and querying" infected" moving objects

J Xu, H Lu, Z Bao - Proceedings of the VLDB Endowment, 2020 - forskning.ruc.dk
Due to the widespread use of GPS-enabled devices such as smartphones, the research field
of moving objects databases has been quite active in the past decade. Human movements …

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 …

Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty

H Li, T Liu, HKH Chan, H Lu - Frontiers in Big Data, 2022 - frontiersin.org
Intelligent buildings are among the most active Internet-of-Things (IoT) verticals,
encompassing various IoT-enabled devices and sensing technologies for digital …

Toward translating raw indoor positioning data into mobility semantics

H Li, H Lu, G Chen, K Chen, Q Chen… - ACM Transactions on Data …, 2020 - dl.acm.org
Indoor mobility analyses are increasingly interesting due to the rapid growth of raw indoor
positioning data obtained from IoT infrastructure. However, high-level analyses are still in …

Indoor mobility semantics annotation using coupled conditional Markov networks

H Li, H Lu, MA Cheema, L Shou… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
Indoor mobility semantics analytics can greatly benefit many pertinent applications. Existing
semantic annotation methods mainly focus on outdoor space and require extra knowledge …

Path Forming of Healthcare Practitioners in an Indoor Space Using Mobile Crowdsensing

BJ Panlaqui, M Fuad, D Deb, C Mickle - Sensors, 2022 - mdpi.com
While there are numerous causes of waste in the healthcare system, some of this waste is
associated with inefficiency. Among the proposed solutions to address inefficiency is clinic …

A Mobile App-Based Indoor Mobility Detection Approach Using Bluetooth Signal Strength

M Fuad, A Smith, D Deb - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In an indoor space, determining a person's mobility patterns has research significance and
applicability in real-world scenarios. When mobility patterns are determined, layout …

ECEQ: Efficient Multi-source Contact Event Query Processing for Moving Objects

P Li, H Dai, Q Zhou, Y Chen, Q Zhou, B Li, G Yang - 2024 - researchsquare.com
Using trajectory data to query and analyze contact events is an emerging method for
disease prevention and control. Existing contact event query processings only focus on …

Spatial Queries for Indoor Location-based Services

T Liu - 2022 23rd IEEE International Conference on Mobile …, 2022 - ieeexplore.ieee.org
Indoor Location-based Services (LBS) facilitate people in indoor scenarios such as airports,
train stations, shopping malls, and office buildings. Indoor spatial queries are the foundation …