A simple model of mechanical effects to estimate metabolic cost of human walking
Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking conditions. Here we present a simple but unif...
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| Published in | Scientific reports Vol. 8; no. 1; pp. 10998 - 12 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
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London
Nature Publishing Group UK
20.07.2018
Nature Publishing Group |
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| Abstract | Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking conditions. Here we present a simple but unified model that uses walking mechanics to estimate metabolic cost at different speeds and step lengths and for six other biomechanically-relevant gait experiments in literature. This includes at various gait postures (e.g. extra foot lift), anthropometric dimensions (e.g. added mass), and reduced gravity conditions, without the need for parameter tuning to design new gait trajectories. Our results suggest that the metabolic cost of walking can largely be explained by the linear combination of four costs—swing and torso dynamics, center of mass velocity redirection, ground clearance, and body weight support. The overall energetic cost is a tradeoff among these separable components, shaped by how they manifest under different walking conditions. |
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| AbstractList | Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking conditions. Here we present a simple but unified model that uses walking mechanics to estimate metabolic cost at different speeds and step lengths and for six other biomechanically-relevant gait experiments in literature. This includes at various gait postures (e.g. extra foot lift), anthropometric dimensions (e.g. added mass), and reduced gravity conditions, without the need for parameter tuning to design new gait trajectories. Our results suggest that the metabolic cost of walking can largely be explained by the linear combination of four costs—swing and torso dynamics, center of mass velocity redirection, ground clearance, and body weight support. The overall energetic cost is a tradeoff among these separable components, shaped by how they manifest under different walking conditions. Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking conditions. Here we present a simple but unified model that uses walking mechanics to estimate metabolic cost at different speeds and step lengths and for six other biomechanically-relevant gait experiments in literature. This includes at various gait postures (e.g. extra foot lift), anthropometric dimensions (e.g. added mass), and reduced gravity conditions, without the need for parameter tuning to design new gait trajectories. Our results suggest that the metabolic cost of walking can largely be explained by the linear combination of four costs-swing and torso dynamics, center of mass velocity redirection, ground clearance, and body weight support. The overall energetic cost is a tradeoff among these separable components, shaped by how they manifest under different walking conditions.Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking conditions. Here we present a simple but unified model that uses walking mechanics to estimate metabolic cost at different speeds and step lengths and for six other biomechanically-relevant gait experiments in literature. This includes at various gait postures (e.g. extra foot lift), anthropometric dimensions (e.g. added mass), and reduced gravity conditions, without the need for parameter tuning to design new gait trajectories. Our results suggest that the metabolic cost of walking can largely be explained by the linear combination of four costs-swing and torso dynamics, center of mass velocity redirection, ground clearance, and body weight support. The overall energetic cost is a tradeoff among these separable components, shaped by how they manifest under different walking conditions. |
| ArticleNumber | 10998 |
| Author | Wu, Amy R. Faraji, Salman Ijspeert, Auke J. |
| Author_xml | – sequence: 1 givenname: Salman surname: Faraji fullname: Faraji, Salman email: salman.faraji@epfl.ch organization: École Polytechnique Fédérale de Lausanne (EPFL) – sequence: 2 givenname: Amy R. orcidid: 0000-0002-1801-5716 surname: Wu fullname: Wu, Amy R. organization: École Polytechnique Fédérale de Lausanne (EPFL) – sequence: 3 givenname: Auke J. orcidid: 0000-0003-1417-9980 surname: Ijspeert fullname: Ijspeert, Auke J. organization: École Polytechnique Fédérale de Lausanne (EPFL) |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30030539$$D View this record in MEDLINE/PubMed |
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| Snippet | Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However,... |
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| SubjectTerms | 631/443 631/553/2695 631/61/2049 639/166/985 Body weight Gait Gravity Humanities and Social Sciences Metabolism multidisciplinary Science Science (multidisciplinary) Walking |
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| Title | A simple model of mechanical effects to estimate metabolic cost of human walking |
| URI | https://link.springer.com/article/10.1038/s41598-018-29429-z https://www.ncbi.nlm.nih.gov/pubmed/30030539 https://www.proquest.com/docview/2072696039 https://www.proquest.com/docview/2073322039 https://pubmed.ncbi.nlm.nih.gov/PMC6054663 |
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