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- W4309969658 abstract "Due to increasing smartphone penetration and micro-electromechanical systems (MEMS) technology advances, smartphone-based location service is becoming an increasingly important research topic. This paper presents a Seq2Seq model-based floor localization scheme, which is infrastructure-free and tracks the floor level according to each step's action. In addition, a floor decision algorithm was developed to eliminate atmospheric pressure drift over time, identify the floor transition type, and estimate the floor number. The proposed scheme was tested in university buildings and achieves a 94.2% average floor number accuracy, with all floor transition types successfully identified." @default.
- W4309969658 created "2022-11-30" @default.
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- W4309969658 date "2022-10-19" @default.
- W4309969658 modified "2023-10-18" @default.
- W4309969658 title "Floor Localization Based on Seq2Seq Model" @default.
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- W4309969658 doi "https://doi.org/10.1109/ictc55196.2022.9952766" @default.
- W4309969658 hasPublicationYear "2022" @default.
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