MMAct
홈페이지 · 논문 23편
MMAct is a large-scale dataset for multi/cross modal action understanding. This dataset has been recorded from 20 distinct subjects with seven different types of modalities: RGB videos, keypoints, acceleration, gyroscope, orientation, Wi-Fi and pressure signal. The dataset consists of more than 36k video clips for 37 action classes covering a wide range of daily life activities such as desktop-related and check-in-based ones in four different distinct scenarios. Source: [MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding](/paper/mmact-a-large-scale-dataset-for-cross-modal)
Videos