no code implementations • 3 Mar 2023 • Yujiao Hao, Boyu Wang, Rong Zheng
In this work, we examine two in-the-wild HAR datasets and DivideMix, a state-of-the-art learning with noise labels (LNL) method to understand the extent and impacts of noisy labels in training data.
no code implementations • 21 Feb 2022 • 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 (HAR).
no code implementations • 14 Dec 2020 • Yujiao Hao, Boyu Wang, Rong Zheng
In recent years, many deep models have been applied to HAR problems.