Gesture recognition is essential for human-computer interaction, with visual and radar sensing technologies extensively employed in their respective fields. The complementary nature of these modalities, characterized by their feature richness, spatial-temporal resolution, and environmental robustness, has inspired rese...
Xiao-Kai Liu, Wen-Hao You, Jie Wang· IEEE Transactions on Cogniti...· 0 citations
To predict the mass loss of grooved journal-bearing shells under varying operating conditions while reducing experimental effort, accelerated wear tests were conducted on a component-level journal-bearing test rig. The effects of load, rotational speed, and oil temperature were investigated, and the worn surfaces were...
For aquatic human activity recognition, millimeter-wave radar is less sensitive to illumination changes, visual occlusion, and privacy concerns than camera-based sensing. However, water-surface activities introduce additional challenges, including multispectrum heterogeneity, coupled temporal-motion and range/cadence s...
Lu Sun, Huan Wang, Liang-Tian Wan et al.· IEEE Transactions on Aerospa...· 0 citations
Automatic modulation classification (AMC) is essential for enhancing the spectral efficiency and noncooperative communication capabilities of Internet of Things (IoT) systems. IoT devices are widely deployed in untrusted intelligent scenarios where data is edge-distributed and follows a nonindependent and identically d...
Jitong Ma, Jianing Li, Tianyu Wang et al.· IEEE Internet of Things Jour...· 0 citations
A disentanglement method based on Mutual Information Minimization is introduced to minimize statistical dependence between modality-shared and modality-specific features from a probability distribution perspective and a Local Discriminative Attention Module is designed to adaptively focus on highly informative body par...
Xiaokai Liu, Fangqing Zhou, Qian Song et al.· Advances in Engineering Tech...· 0 citations
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