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Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors
The estimation of the speed of human motion from wearable IMU sensors is required in applications such as pedestrian dead reckoning. In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost IMU sensor. Each subject was observed using three s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144294/ https://www.ncbi.nlm.nih.gov/pubmed/35632274 http://dx.doi.org/10.3390/s22103865 |