Movement detecting using BiRNN based on the sub-carrier correlation and the temporal auto-correlation in Wi-Fi single CSI streaming
In this paper, we propose a motion detection algorithm based on BiRNN learning applicable in the Wi-Fi single CSI streaming environment. We also propose a method for extracting features using sub-carrier correlation and temporal autocorrelation functions.
Authors
- Dong‐Wan Kim (ORCID: https://orcid.org/0000-0002-1635-6082)
- Minsup Kim (ORCID: https://orcid.org/0000-0002-8023-694X)
- Kapil Sachdeva
- Heeseok Jeong (ORCID: https://orcid.org/0009-0007-2492-6659)
- Mayank Agrawal (ORCID: https://orcid.org/0000-0001-9563-9736)
- Mayank Haarit
Institutions
- Samsung (South Korea) (KR)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/ssp64130.2025.11073352
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Samsung