Cross-user activity recognition using deep domain adaptation with temporal relation information

arXiv:2403.15424v1 Announce Type: cross
Abstract: Human Activity Recognition (HAR) is a cornerstone of ubiquitous computing, with promising applications in diverse fields such as health monitoring and ambient assisted living. Despite significant advancements, sensor-based HAR methods often operate under the assumption that training and testing data have identical distributions. However, in many real-world scenarios, particularly in sensor-based HAR, this assumption is invalidated by out-of-distribution ($\displaystyle o.o.d.$) challenges, including differences from heterogeneous sensors, change over time, and individual behavioural variability. This paper …

abstract ambient applications arxiv computing cs.ai cs.cv cs.hc cs.lg data diverse domain domain adaptation eess.sp fields health however human information monitoring recognition sensor temporal testing training type