Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution
Journal Article
Overview
publication date
- January 4, 2022
has subject area
- Accelerometry
- Computing Methodologies - Neural Networks, Computer
- Ergometry - Exercise Test
- Heart Function Tests - Exercise Test
- Human Activities - Running
- Humans
- Mathematical Concepts - Neural Networks, Computer
- Musculoskeletal Physiological Phenomena - Movement
- Musculoskeletal Physiological Phenomena - Running
- Musculoskeletal Physiological Phenomena - Running
- Physiological Phenomena - Movement
- Respiratory Function Tests - Exercise Test
- Sports - Running
has restriction
- gold
Date in CU Experts
- January 17, 2022 6:26 AM
Full Author List
- Alcantara RS; Edwards WB; Millet GY; Grabowski AM
author count
- 4
citation count
- 24
published in
- PeerJ Journal
Other Profiles
International Standard Serial Number (ISSN)
- 2167-8359
Digital Object Identifier (DOI)
Additional Document Info
volume
- 10
number
- ARTN e12752