Discovering places of interest in everyday life from smartphone data

R Montoliu, J Blom, D Gatica-Perez - Multimedia tools and applications, 2013 - Springer
In this paper, a new framework to discover places-of-interest from multimodal mobile phone
data is presented. Mobile phones have been used as sensors to obtain location information …

Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors

L Wang, H Gjoreski, M Ciliberto, P Lago… - Adjunct Proceedings of …, 2023 - dl.acm.org
In this paper we summarize the contributions of participants to the fifth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …

Deep feature extraction from trajectories for transportation mode estimation

Y Endo, H Toda, K Nishida, A Kawanobe - … New Zealand, April 19-22, 2016 …, 2016 - Springer
This paper addresses the problem of feature extraction for estimating users' transportation
modes from their movement trajectories. Previous studies have adopted supervised learning …

Accelerometer based transportation mode recognition on mobile phones

S Wang, C Chen, J Ma - 2010 Asia-Pacific Conference on …, 2010 - ieeexplore.ieee.org
Recognizing the transportation modes of people's daily living is an important research issue
in the pervasive computing. Prior research in this field mainly uses Global Positioning …

Theoretically-efficient and practical parallel DBSCAN

Y Wang, Y Gu, J Shun - Proceedings of the 2020 ACM SIGMOD …, 2020 - dl.acm.org
The DBSCAN method for spatial clustering has received significant attention due to its
applicability in a variety of data analysis tasks. There are fast sequential algorithms for …

Inferring human activities from GPS tracks

B Furletti, P Cintia, C Renso, L Spinsanti - Proceedings of the 2nd ACM …, 2013 - dl.acm.org
The collection of huge amount of tracking data made possible by the widespread use of GPS
devices, enabled the analysis of such data for several applications domains, ranging from …

Social sensing

CC Aggarwal, T Abdelzaher - Managing and mining sensor data, 2013 - Springer
A number of sensor applications in recent years collect data which can be directly
associated with human interactions. Some examples of such applications include GPS …

[HTML][HTML] Review and evaluation of methods in transport mode detection based on GPS tracking data

P Sadeghian, J Håkansson, X Zhao - Journal of Traffic and Transportation …, 2021 - Elsevier
Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …

Quantifying interdependent privacy risks with location data

AM Olteanu, K Huguenin, R Shokri… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Co-location information about users is increasingly available online. For instance, mobile
users more and more frequently report their co-locations with other users in the messages …

Deep trajectory recovery with fine-grained calibration using kalman filter

J Wang, N Wu, X Lu, WX Zhao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the development of location-acquisition technologies, there are a huge number of
mobile trajectories generated and accumulated in a variety of domains. However, due to the …