1 citations · 1 across the 5 of their papers we have counts for
5 papers
MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization
Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu +1
Human activity recognition (HAR) is a well-established field, significantly advanced by modern machine learning (ML) techniques. While companies have successfully integrated HAR in…
Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling
Jingwei Zuo, Hakim Hacid
Human Activity Recognition (HAR) has been studied for decades, from data collection, learning models, to post-processing and result interpretations. However, the inherent hierarchy…
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu +1
Edge Machine Learning (Edge ML), which shifts computational intelligence from cloud-based systems to edge devices, is attracting significant interest due to its evident benefits in…
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks
Jingwei Zuo, Wenbin Li, Michele Baldo +1
Air Quality Monitoring and Forecasting has been a popular research topic in recent years. Recently, data-driven approaches for air quality forecasting have garnered significant att…
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge
Jingwei Zuo, George Arvanitakis, Hakim Hacid
Human activity recognition (HAR) has been a classic research problem. In particular, with recent machine learning (ML) techniques, the recognition task has been largely investigate…