In this paper we summarize the contributions of participants to the fifth Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …