no code implementations • 5 Mar 2024 • Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Deying Chen, Yixuan Tong, Shaocong Zheng
The label classifier obtained from training the source domain data improves the recognition of target domain activities due to the semi-supervised learning utilized in training the target domain data.
1 code implementation • 4 Mar 2024 • Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu, Zhenghua Chen
WiFi-based human pose estimation is a suitable method for monitoring power operations due to its low cost, device-free, and robustness to various illumination conditions. In this paper, a novel Channel State Information (CSI)-based pose estimation framework, namely PowerSkel, is developed to address these challenges.
no code implementations • 22 Mar 2020 • Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen
With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough review of the current literature and identifies the challenges for future research.