Hidden Markov Model-based Pedestrian Navigation System using MEMS Inertial Sensors
In this paper, a foot-mounted pedestrian navigation system using MEMS inertial sensors is implemented, where the zero-velocity detection is abstracted into a hidden Markov model with 4 states and 15 observations. Moreover, an observations extraction algorithm has been developed to extract observatio...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Sciendo
2015-02-01
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| Serie: | Measurement Science Review |
| Ämnen: | |
| Länkar: | https://doi.org/10.1515/msr-2015-0006 |
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