IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks
- DOI
- 10.3390/s22228871
- Published
- 2022-11-16
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s22228871,
title = {IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks},
author = {Daniel Marcos Mazon and Marc Groefsema and Lambert R. B. Schomaker and Raffaella Carloni},
year = {2022},
journal = {Sensors},
doi = {10.3390/s22228871},
url = {https://doi.org/10.3390/s22228871}
}RIS
TY - JOUR TI - IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks AU - Daniel Marcos Mazon AU - Marc Groefsema AU - Lambert R. B. Schomaker AU - Raffaella Carloni PY - 2022 JO - Sensors DO - 10.3390/s22228871 UR - https://doi.org/10.3390/s22228871 ER -
APA
Mazon, D. M., Groefsema, M., Schomaker, L. R. B., & Carloni, R. (2022). IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks. Sensors. https://doi.org/10.3390/s22228871
Source records
- crossref · retrieved 2026-09-25T00:29:58.186Z