A contrastive model aligns LiDAR point clouds, skeletons, IMU signals, and text in one embedding space, enabling cross-modal matching and improving point cloud activity recognition.
Simultaneous real-time human fall detection and reidentification based on multisensors data
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DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
A contrastive model aligns LiDAR point clouds, skeletons, IMU signals, and text in one embedding space, enabling cross-modal matching and improving point cloud activity recognition.