From Image to Stability: Learning Dynamics from Human Pose

Autor:	Yanxi Liu, Bharadwaj Ravichandran, Christopher Funk, Jesse Scott, Robert T. Collins
Rok vydání:	2020
Předmět:	Sequence Computer science business.industry Deep learning Key (cryptography) Stability (learning theory) Computer vision Kinematics Artificial intelligence business Cross-validation Image (mathematics) Center of pressure (fluid mechanics)
Zdroj:	Computer Vision – ECCV 2020 ISBN: 9783030585914 ECCV (23)
Popis:	We propose and validate two end-to-end deep learning architectures to learn foot pressure distribution maps (dynamics) from 2D or 3D human pose (kinematics). The networks are trained using 1.36 million synchronized pose+pressure data pairs from 10 subjects performing multiple takes of a 5-min long choreographed Taiji sequence. Using leave-one-subject-out cross validation, we demonstrate reliable and repeatable foot pressure prediction, setting the first baseline for solving a non-obvious pose to pressure cross-modality mapping problem in computer vision. Furthermore, we compute and quantitatively validate Center of Pressure (CoP) and Base of Support (BoS), two key components for stability analysis, from the predicted foot pressure distributions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ced1c32580cb907ec5517cf5563f1771 https://doi.org/10.1007/978-3-030-58592-1_32 Zobrazit plný text záznamu