Bfh03_03.mp4 -

This paper introduces the dataset containing over 80 hours of instructional videos, including the BFH (Body-Face-Hands) keypoint annotations mentioned in your file name. You can access more information via the How2Sign Project Page . Dataset Context

Specialized methods using Multi-Channel MKL for detecting characteristics in video sequences. How2Sign Dataset BFH03_03.mp4

Authors: Amanda Duarte, et al. Venue: CVPR 2021 This paper introduces the dataset containing over 80

Research focusing on multimodal models and longitudinal study designs. How2Sign Dataset Authors: Amanda Duarte, et al

The naming convention "BFH" typically refers to keypoints, which are high-resolution 2D or 3D skeletal data extracted from RGB videos. In the How2Sign dataset:

The foundational paper for this dataset, which describes its collection, annotation, and metadata, is:

Other related research, such as the , also uses a BFH subset for evaluating the accuracy of 3D human meshes.