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• W4367172685 abstract "Human activity recognition (HAR) is an important and growing research area with a wide range of applications, including healthcare, security, and sports. In this study, we classify the various domains of HAR and provide a state-of the-art overview of the approaches used for this task. We also summarize the available RF signal data sources used in HAR and explain the processing and feature engineering of the RF signal data. Finally, the experimental results obtained in our study demonstrate the effectiveness of using Doppler shift patterns extracted from OTFS signal transmissions to recognize different human activities using RF signals." @default.
• W4367172685 created "2023-04-28" @default.
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• W4367172685 date "2023-04-19" @default.
• W4367172685 modified "2023-10-15" @default.
• W4367172685 title "The human activity recognition using radio frequency signals" @default.
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• W4367172685 doi "https://doi.org/10.1109/radioelektronika57919.2023.10109028" @default.
• W4367172685 hasPublicationYear "2023" @default.
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