45 citations · 74 across the 10 of their papers we have counts for
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eess.SP2024★ 2 cited
Cross-user activity recognition using deep domain adaptation with temporal relation information
Xiaozhou Ye, Waleed H. Abdulla, Nirmal Nair +1
Human Activity Recognition (HAR) is a cornerstone of ubiquitous computing, with promising applications in diverse fields such as health monitoring and ambient assisted living. Desp…
eess.SP2024★ 4 cited
Cross-user activity recognition via temporal relation optimal transport
Xiaozhou Ye, Kevin I-Kai Wang
Current research on human activity recognition (HAR) mainly assumes that training and testing data are drawn from the same distribution to achieve a generalised model, which means…
eess.SP2024★ 45 cited
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
Xiaozhou Ye, Kouichi Sakurai, Nirmal Nair +1
Sensor-based Human Activity Recognition (HAR) is crucial in ubiquitous computing, analysing behaviours through multi-dimensional observations. Despite research progress, HAR confro…