Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

Jack Chuang; Raied Caromi; Jelena Senic; Samuel Berweger; Neeraj Varshney; Jian Wang; Chiehping Lai; Anuraag Bodi; William Sloane; Camillo Gentile; Nada Golmie

doi:10.1109/OJAP.2024.3371834

IEEE Open Journal of Antennas and Propagation (Jan 2024)

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

Jack Chuang,
Raied Caromi,
Jelena Senic,
Samuel Berweger,
Neeraj Varshney,
Jian Wang,
Chiehping Lai,
Anuraag Bodi,
William Sloane,
Camillo Gentile,
Nada Golmie

Affiliations

Jack Chuang: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Raied Caromi: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Jelena Senic: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Samuel Berweger: ORCiD; Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
Neeraj Varshney: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Jian Wang: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Chiehping Lai: Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Anuraag Bodi: Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
William Sloane: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Camillo Gentile: ORCiD; Radio Access and Propagation Metrology Group, National Institute of Standards and Technology, Gaithersburg, MD, USA
Nada Golmie: ORCiD; Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA

DOI: https://doi.org/10.1109/OJAP.2024.3371834
Journal volume & issue: Vol. 5, no. 3
pp. 557 – 572

Abstract

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We describe a quasi-deterministic channel propagation model for human gesture recognition reduced from real-time measurements with our context-aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120000 channel acquisitions. The sounder features a radio-frequency (RF) system with 28 GHz phased-array antennas to extract discrete multipaths backscattered from the body in path gain, delay, azimuth angle-of-arrival, and elevation angle-of-arrival domains, and features camera / Lidar systems to extract discrete keypoints that correspond to salient parts of the body in the same domains as the multipaths. Thanks to the precision of the RF system, with average error of only 0.1 ns in delay and 0.2° in angle, we can reliably associate the multipaths to the keypoints. This enables modeling the backscatter properties of individual body parts, such as Radar cross-section and correlation time. Once the model is reduced from the measurements, the channel is realized through raytracing a stickman of keypoints – the deterministic component of the model to represent generalizable motion – superimposed with a Sum-of-Sinusoids process – the stochastic component of the model to render enhanced accuracy. Finally, the channel realizations are compared to the measurements, substantiating the model’s high fidelity.

Published in IEEE Open Journal of Antennas and Propagation

ISSN: 2637-6431 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8566058

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