| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6947534 | Applied Ergonomics | 2019 | 7 Pages |
Abstract
While the complexity of variables related to characteristics of snow, speed of movement, and individuals confound efforts to develop a simple, predictive model, this paper provides data-driven improvements to models that are used to predict the energy costs of dismounted movements over snow.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Paul W. Richmond, Adam W. Potter, David P. Looney, William R. Santee,