45 citations · 74 across the 10 of their papers we have counts for
6 papers · 1 filter
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning
Xiaozhou Ye, Kevin I-Kai Wang
Human Activity Recognition (HAR) plays a crucial role in various applications such as human-computer interaction and healthcare monitoring. However, challenges persist in HAR model…
Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition
Xiaozhou Ye, Kevin I-Kai Wang
In Human Activity Recognition (HAR), a predominant assumption is that the data utilized for training and evaluation purposes are drawn from the same distribution. It is also assume…
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…
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…
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…
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition
Xiaozhou Ye, Kevin I-Kai Wang
In human activity recognition (HAR), the assumption that training and testing data are independent and identically distributed (i.i.d.) often fails, particularly in cross-user scen…