Age-related gait motion transformation based on biomechanical observations
| Autor: | Junyong Noh, Kyungmin Cho, Sunjin Jung, Haegwang Eom, Seok-Pyo Hong, Byungkuk Choi |
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| Rok vydání: | 2017 |
| Předmět: |
Foot (prosody)
Computer science business.industry 020207 software engineering 02 engineering and technology Kinematics Computer Graphics and Computer-Aided Design Motion (physics) Transformation (function) Gait (human) 0202 electrical engineering electronic engineering information engineering Character animation Range (statistics) 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Focus (optics) Software |
| Zdroj: | Computer Animation and Virtual Worlds. 28:e1774 |
| ISSN: | 1546-4261 |
| Popis: | We present a novel approach for synthesizing human gait motions according to a range of input ages by transforming a given motion based on biomechanical observations. Given an original motion, our method first extracts gait cycles that are periodically defined by foot contact on the ground and then transforms the original motion to achieve a desirable posture and motions that respectively correspond to the input age. Among many biomechanical features that gradually change with aging, we mainly focus on spatiotemporal and kinematic features as well as postural changes. Exploiting these features, we formulate the biomechanical changes as continuous functions that reflect visually significant features corresponding to the input age. Finally, we demonstrate that our system can automatically generate plausible gait motions given a wide range of input ages. |
| Databáze: | OpenAIRE |
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