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Walking Trajectory Estimation Using Multi-Sensor Fusion and a Probabilistic Step Model
This paper presents a framework for accurately and efficiently estimating a walking human’s trajectory using a computationally inexpensive non-Gaussian recursive Bayesian estimator. The proposed framework fuses global and inertial measurements with predictions from a kinematically driven step model...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385110/ https://www.ncbi.nlm.nih.gov/pubmed/37514787 http://dx.doi.org/10.3390/s23146494 |