Wearable devices are increasingly used as tools for biomedical research, as the continuous
stream of behavioral and physiological data they collect can provide insights about our …

Trajectory data is a valuable asset for service management and spatio-temporal mining in
transportation and logistics systems. However, due to equipment failure, network delay, and …

This paper introduces PhyMask, an adaptive masking paradigm designed to enhance the
efficiency and interpretability of Masked Autoencoders (MAEs) in analyzing IoT sensing …

Motion time series collected from mobile and wearable devices such as smartphones and
smartwatches offer significant insights into human behavioral patterns, with wide …

In this study, we provide a detailed analysis of data augmentation techniques applied to
inertial sensor data from the WEAR Dataset, aimed at improving Human Activity Recognition …

In this report, we describe the technical details of our submission to the WEAR Dataset
Challenge 2024. For this competition, we use two approaches to boost the performance of …