Bfh03_03.mp4 May 2026

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

Authors: Amanda Duarte, et al. Venue: CVPR 2021 BFH03_03.mp4

Specialized methods using Multi-Channel MKL for detecting characteristics in video sequences. How2Sign Dataset The foundational paper for this dataset, which describes

Research focusing on multimodal models and longitudinal study designs. The foundational paper for this dataset

are specialized subsets that include these detailed pose estimations for use in tasks like sign language translation and human pose regression.

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

Related Research at BFH (Bern University of Applied Sciences)