Distributional and spatial-temporal robust representation learning for transportation activity recognition
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …
transportation applications, such as urban transportation planning, driving behavior …
Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations
W Yu, G Wang - International Journal of Geographical Information …, 2023 - Taylor & Francis
As an important task in spatial data mining, trajectory transportation mode recognition can
reflect various individual behaviors and traveling patterns in urban space. As trajectory is …
reflect various individual behaviors and traveling patterns in urban space. As trajectory is …
Applying multiple knowledge to Sussex-Huawei locomotion challenge
In recent years, activity recognition (AR) has become prominent in ubiquitous systems.
Following this trend, the Sussex-Huawei Locomotion-Transportation (SHL) recognition …
Following this trend, the Sussex-Huawei Locomotion-Transportation (SHL) recognition …
Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors
The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
Generalizable low-resource activity recognition with diverse and discriminative representation learning
Human activity recognition (HAR) is a time series classification task that focuses on
identifying the motion patterns from human sensor readings. Adequate data is essential but …
identifying the motion patterns from human sensor readings. Adequate data is essential but …
Transportation mode recognition with deep forest based on GPS data
M Guo, S Liang, L Zhao, P Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Transportation mode recognition (TMR) is a common but critical task in the human behavior
research field, which provides decision support for urban traffic planning, public facility …
research field, which provides decision support for urban traffic planning, public facility …
Distribution-based semi-supervised learning for activity recognition
Supervised learning methods have been widely applied to activity recognition. The
prevalent success of existing methods, however, has two crucial prerequisites: proper …
prevalent success of existing methods, however, has two crucial prerequisites: proper …
Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach
BT Morris, MM Trivedi - IEEE transactions on pattern analysis …, 2011 - ieeexplore.ieee.org
Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …
effective methods to utilize and manage the massive resulting amounts of visual data are …
Self-supervised pre-training for robust and generic spatial-temporal representations
Advancements in mobile sensing, data mining, and artificial intelligence have revolutionized
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …
a unique opportunity to the activity-recognition community to test their approaches on a …