Abstract
This paper presents SpecRF-Posture, a novel lowcost approach for accurate Human Posture Recognition (HPR) using Radio Frequency (RF) signals. SpecRF-Posture leverages S21 parameters within the WiFi-6E frequency range for classification. We obtain a dataset of S21 parameters for different postures by performing beamscanning through mechanical rotation of a horn transmitter aimed at a reflective surface that illuminates the space of interest. We determine the S21 parameters of the signals that are then reflected back from the space onto an omnidirectional receiver. Thus for each posture we attain the S21 parameters of each possible illumination direction of the space. Experimental results demonstrate that SpecRF-Posture achieves an accuracy of 99.17% in posture classification, highlighting its effectiveness. Additionally, an RF dataset was acquired using a software package for automatic data acquisition within the WiFi-6E frequency range, and both the dataset and the software package have been made publicly available.
Original language | English |
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Title of host publication | 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom): Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 227-232 |
ISBN (Electronic) | 9798350309485 |
ISBN (Print) | 9798350309492 |
DOIs | |
Publication status | Published - 12 Aug 2024 |
Event | 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) - Madrid, Spain Duration: 08 Jul 2024 → 11 Jul 2024 https://meditcom2024.ieee-meditcom.org/ |
Conference
Conference | 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) |
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Country/Territory | Spain |
City | Madrid |
Period | 08/07/2024 → 11/07/2024 |
Internet address |