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Conference Aug 2026

Light-EmbodiedHAR: An Explainable IMU Sensor-Fusion Framework for Human Activity State Recognition in Assistive Robot Interaction

Human activity state recognition is a basic perception capability for assistive robots that interact with older adults, rehabilitation users, and workers in shared environments. However, many embodied-intelligence studies depend on vision-heavy perception pipelines that are difficult to deploy in low-cost, privacy-sens...

Jing-Run Pan, Ze-Yi Ding, Shun-Hui Mo et al. · 0 citations
#computer vision Preprint Sep 2026

DiFF: Doppler-informed Flow Matching for Human Motion Flow

Perceiving human motion via privacy-preserving 4D millimeter-wave (mmWave) radar is critical for next-generation human-robot interaction (HRI), where point cloud scene flow serves as a foundational motion representation. Yet the extreme sparsity and noise of 4D radar point clouds make non-rigid motion flow estimation s...

Kai Wang, Ming-Le Zhao · 0 citations

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