HumanPlus-1000 is a large-scale multimodal human behavior dataset designed for learning and modeling human perception, motion, and interaction in real-world environments. It captures synchronized egocentric visual observations, full-body motion, hand motion, camera motion, and 3D environment information, with the goal of providing paired human perception–action data for embodied intelligence, human motion modeling, and robotics. HumanPlus-1000 is designed around long-horizon human activities captured in real-world environments. Unlike datasets that provide only egocentric video or isolated motion sequences, HumanPlus aims to align multiple representations of human behavior - what the human…