2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SP2023
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild
Yujiao Hao, Boyu Wang, Rong Zheng
Deep neural network models for IMU sensor-based human activity recognition (HAR) that are trained from controlled, well-curated datasets suffer from poor generalizability in practi…
eess.SP2022
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator
Yujiao Hao, Boyu Wang, Rong Zheng
With the prevalence of wearable devices, inertial measurement unit (IMU) data has been utilized in monitoring and assessment of human mobility such as human activity recognition (H…
eess.SP2020★ 2 cited
Invariant Feature Learning for Sensor-based Human Activity Recognition
Yujiao Hao, Boyu Wang, Rong Zheng
Wearable sensor-based human activity recognition (HAR) has been a research focus in the field of ubiquitous and mobile computing for years. In recent years, many deep models have b…