JSAI2023

Presentation information

General Session

General Session » GS-10 AI application

[2M6-GS-10] AI application

Wed. Jun 7, 2023 5:30 PM - 7:30 PM Room M (D1)

座長:兼村 厚範(産業技術総合研究所) [現地]

6:50 PM - 7:10 PM

[2M6-GS-10-05] Indoor position estimation with CSI

〇Wataru Tokioka1, Hidekazu Yanagimoto2, Kiyota Hashimoto3 (1. OSAKA PREFECTURE UNIVERSITY, 2. OSAKA METROPOLITAN UNIVERSITY, 3. SHUNAN UNIVERSITY)

Keywords:position estimation, CSI

Due to recent outbreaks of infectious diseases and miscellaneous accidents, it has become important to understand the state of crowds. In this study, we used Channel State Information (CSI), which represents the transmission status of Wi-Fi radio waves, to estimate the location of people in a room by considering the amplitude of each subcarrier as a feature as a multi-level classification task in a random forest. In laboratory experiments, the accuracy was high when the training data include the data of the person whose location was to be estimated, but the accuracy deteriorated when the training data did not. In addition, the use of moving average of the series data improved the estimation accuracy for many combinations of data.

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