Cargando…
A Novel Algorithm for Scenario Recognition Based on MEMS Sensors of Smartphone
The scenario is very important to smartphone-based pedestrian positioning services. The smartphone is equipped with MEMS(Micro Electro Mechanical System) sensors, which have low accuracy. Now, the methods for scenario recognition are mainly machine-learning methods. The recognition rate of a single...
Autores principales: | Li, Xianghong, Yuan, Hong, Yang, Guang, Gong, Yingkui, Xu, Jiajia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698510/ https://www.ncbi.nlm.nih.gov/pubmed/36363886 http://dx.doi.org/10.3390/mi13111865 |
Ejemplares similares
-
Combination of Smartphone MEMS Sensors and Environmental Prior Information for Pedestrian Indoor Positioning
por: Huang, Lu, et al.
Publicado: (2020) -
Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones
por: Kuang, Jian, et al.
Publicado: (2018) -
Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor
por: Du, Ronghua, et al.
Publicado: (2020) -
Acetone Sensor Based on FAIMS-MEMS
por: Zhang, Junna, et al.
Publicado: (2021) -
Frequency unlocking-based MEMS bifurcation sensors
por: Qiao, Yan, et al.
Publicado: (2023)