Remote Breathing Monitoring Using LiDAR Technology
Abstract: Breathing monitoring is crucial in healthcare for early detection of health issues, but traditional methods face challenges like invasiveness, privacy concerns, and limited applicability in daily settings. This paper introduces light detection and ranging (LiDAR) sensors as a remote, privacy-respecting alternative for monitoring breathing metrics, including inhalation/exhalation patterns, respiratory rates, breath depth, and detecting breathlessness. We highlight LiDARs ability to function across various postures, presenting empirical evidence of its accuracy and reliability. Our findings position LiDAR as an innovative solution in breathing monitoring, offering significant advantages over conventional methods.
- M. Bahrami and M. Forouzanfar, “Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–11, Feb. 2022.
- I. Costanzo, D. Sen, L. Rhein, and U. Guler, “Respiratory monitoring: Current state of the art and future roads,” IEEE Reviews in Biomedical Engineering, vol. 15, pp. 103–121, Nov. 2022.
- C. Massaroni, J. Di Tocco, D. Lo Presti, U. G. Longo, S. Miccinilli, S. Sterzi, D. Formica, P. Saccomandi, and E. Schena, “Smart textile based on piezoresistive sensing elements for respiratory monitoring,” IEEE Sensors Journal, vol. 19, no. 17, pp. 7718–7725, May 2019.
- D. A. Baker, “Four ironies of self-quantification: wearable technologies and the quantified self,” Science and engineering ethics, vol. 26, no. 3, pp. 1477–1498, Jan. 2020.
- A. Procházka, H. Charvátová, O. Vyšata, J. Kopal, and J. Chambers, “Breathing analysis using thermal and depth imaging camera video records,” Sensors, vol. 17, no. 6, pp. 1–10, June 2017.
- C. Massaroni, A. Nicolò, M. Sacchetti, and E. Schena, “Contactless methods for measuring respiratory rate: A review,” IEEE Sensors Journal, vol. 21, no. 11, pp. 12 821–12 839, June 2021.
- C. James, A. Richardson, P. Watt, and N. Maxwell, “Reliability and validity of skin temperature measurement by telemetry thermistors and a thermal camera during exercise in the heat,” Journal of thermal biology, vol. 45, pp. 141–149, Oct. 2014.
- B. Sinclair, “Kinect has problems recognizing dark-skinned users?” GameSpot, Nov. 2010. [Online]. Available: https://www.gamespot.com/articles/kinect-has-problems-recognizing-dark-skinned-users/1100-6283514/
- M. Guariglia and C. Quintin, “Thermal imaging cameras are still dangerous dragnet surveillance cameras,” Electronic Frontier Foundation, Apr. 2020. [Online]. Available: www.eff.org/deeplinks/2020/04/thermal-imaging-cameras-are-still-dangerous-dragnet-surveillance-cameras
- O. Rinchi, H. Ghazzai, A. Alsharoa, and Y. Massoud, “LiDAR technology for human activity recognition: Outlooks and challenges,” IEEE Internet of Things Magazine, vol. 6, no. 2, pp. 143–150, June 2023.
- O. Rinchi, N. Nisbett, and A. Alsharoa, “Patients arms segmentation and gesture identification using standalone 3-D LiDAR sensors,” IEEE Sensors Letters, vol. 7, no. 9, pp. 1–4, Aug. 2023.
- B. Hill, R. Stapley, M. S. Bin Nesar, and B. M. Whitaker, “Touchless respiratory monitor preliminary data and results,” in Proc. of the 25-th IEEE Aerospace Conference (AERO’21), Big Sky, MT, USA, Mar. 2021, pp. 1–7.
- M. S. Bin Nesar, K. Trippe, R. Stapley, B. M. Whitaker, and B. Hill, “Improving touchless respiratory monitoring via LiDAR orientation and thermal imaging,” in Proc. of the 26-th IEEE Aerospace Conference (AERO’22), Big Sky, MT, USA, Mar. 2022, pp. 1–8.
- B. Cherif, H. Ghazzai, A. Alsharoa, H. Besbes, and Y. Massoud, “Aerial LiDAR-based 3D object detection and tracking for traffic monitoring,” in Proc. of the 38-th IEEE International Symposium on Circuits and Systems (ISCAS’23), Monterey, CA, USA, May 2023, pp. 1–5.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.