From Image to Stability: Learning Dynamics from Human Pose
| العنوان: | From Image to Stability: Learning Dynamics from Human Pose |
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| المؤلفون: | Yanxi Liu, Bharadwaj Ravichandran, Christopher Funk, Jesse Scott, Robert T. Collins |
| المصدر: | Computer Vision – ECCV 2020 ISBN: 9783030585914 ECCV (23) |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 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) |
| الوصف: | 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. |
| ردمك: | 978-3-030-58591-4 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::ced1c32580cb907ec5517cf5563f1771 https://doi.org/10.1007/978-3-030-58592-1_32 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........ced1c32580cb907ec5517cf5563f1771 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030585914 |
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