2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
Furong Duan, Tao Zhu, Jinqiang Wang +3
Sensor-based human activity segmentation and recognition are two important and challenging problems in many real-world applications and they have drawn increasing attention from th…
cs.CV2022
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Jinqiang Wang, Tao Zhu, Liming Chen +2
Contrastive learning has been applied to Human Activity Recognition (HAR) based on sensor data owing to its ability to achieve performance comparable to supervised learning with a…
cs.HC2021★ 2 cited
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Jinqiang Wang, Tao Zhu, Jingyuan Gan +3
While deep learning has contributed to the advancement of sensor-based Human Activity Recognition (HAR), it is usually a costly and challenging supervised task with the needs of a…