Person identification using Wi-Fi CSI focusing on door opening and closing motions based on per-channel similarity estimation

Kazuki Iwase, Hiroaki Morino

研究成果: Conference contribution

抄録

Identification of persons entering a room or building will be beneficial to provide personalized smart home services. Conventional identification scheme based on image analysis involve additional actions to persons for identification and also there could be privacy concerns with unintended persons appearing in images. In this study, we propose a scheme to identify an individual from door opening and closing motions by analyzing Wi-Fi Channel State Information (CSI) time series. The motions to be analyzed appear in our daily lives and the scheme does not pose additional actions to persons. Also, privacy concerns will be negligible when analyzing WiFi signal. The proposed scheme estimates similarity between obtained CSI data of the target person and that in the reference data obtained in advance based on cross correlation and dynamic time warping and adopts voting principle per channel basis. Through evaluation experiments with 10 subjects, the proposed scheme achieves average F value of 0.94.

本文言語English
ホスト出版物のタイトル2024 IEEE International Conference on Consumer Electronics, ICCE 2024
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9798350324136
DOI
出版ステータスPublished - 2024
イベント2024 IEEE International Conference on Consumer Electronics, ICCE 2024 - Las Vegas, United States
継続期間: 2024 1月 62024 1月 8

出版物シリーズ

名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(印刷版)0747-668X
ISSN(電子版)2159-1423

Conference

Conference2024 IEEE International Conference on Consumer Electronics, ICCE 2024
国/地域United States
CityLas Vegas
Period24/1/624/1/8

ASJC Scopus subject areas

  • 産業および生産工学
  • 電子工学および電気工学

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