Extraction of the Respiratory Volume Signal with an Intel RealSense D455 Depth Camera: A Qualitative Study

In this work, the Intel RealSense D455 depth camera is used under a set of different conditions to evaluate the feasibility of respiration volume analysis. The tests are conducted on a single subject who is instructed to stand and breathe normally at a distance of 1 m, 2 m, 3 m, and 3.5 m from the camera place. The device is placed at a height of 0.8 m. The experiments are repeated for three different clothing: a tight shirt, a T-shirt, and a sweater. To quantify the performances, a quality index for respiration analysis is defined to understand the effect of the external tested factors on the respiration signal quality.

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Publication Details

Published
2025-04-28
DOI
https://doi.org/10.1109/icct-europe63283.2025.11157697
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Extraction of the Respiratory Volume Signal with an Intel RealSense D455 Depth Camera: A Qualitative Study

Antonio Nocera, Ennio Gambi, Linda Senigagliesi, Gianluca Ciattaglia et al.
Non-Invasive Vital Sign Monitoring
article

Extraction of the Respiratory Volume Signal with an Intel RealSense D455 Depth Camera: A Qualitative Study

Antonio Nocera, Ennio Gambi, Linda Senigagliesi, Gianluca Ciattaglia, Anass Chebbaki
article en

Abstract

In this work, the Intel RealSense D455 depth camera is used under a set of different conditions to evaluate the feasibility of respiration volume analysis. The tests are conducted on a single subject who is instructed to stand and breathe normally at a distance of 1 m, 2 m, 3 m, and 3.5 m from the camera place. The device is placed at a height of 0.8 m. The experiments are repeated for three different clothing: a tight shirt, a T-shirt, and a sweater. To quantify the performances, a quality index for respiration analysis is defined to understand the effect of the external tested factors on the respiration signal quality.

Marche Polytechnic University (IT)
Openalex Percentile: Top 76%
Non-Invasive Vital Sign Monitoring
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