SpecRF-Posture: exploring specular reflections for human posture recognition

Mariana Oliveira, Francisco M. Ribeiro, Nuno Paulino, Okan Yurduseven, Luís M. Pessoa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publication2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-232
ISBN (Electronic)9798350309485
ISBN (Print)9798350309492
DOIs
Publication statusPublished - 12 Aug 2024
Event2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) - Madrid, Spain
Duration: 08 Jul 202411 Jul 2024
https://meditcom2024.ieee-meditcom.org/

Conference

Conference2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
Country/TerritorySpain
CityMadrid
Period08/07/202411/07/2024
Internet address

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