Towards Autonomous Physiological Signal Extraction From Thermal Videos Using Deep Learning

Author:

Das Kapotaksha1ORCID,Abouelenien Mohamed2ORCID,Burzo Mihai G.3ORCID,Elson John4ORCID,Prakah-Asante Kwaku4ORCID,Maranville Clay4ORCID

Affiliation:

1. Computer and Information Science, University of Michigan-Dearborn, United States

2. University of Michigan, United States

3. University of Michigan-Flint, United States

4. Ford Motor Company, United States

Publisher

ACM

Reference45 articles.

1. [n. d.]. Thermal Imaging for Detecting Elevated Body Temperature. https://www.flir.com/discover/public-safety/thermal-imaging-for-detecting-elevated-body-temperature/. Accessed: 2022-03-22. [n. d.]. Thermal Imaging for Detecting Elevated Body Temperature. https://www.flir.com/discover/public-safety/thermal-imaging-for-detecting-elevated-body-temperature/. Accessed: 2022-03-22.

2. Abbas  K Abbas , Konrad Heimann , Katrin Jergus , Thorsten Orlikowsky , and Steffen Leonhardt . 2011. Neonatal non-contact respiratory monitoring based on real-time infrared thermography. Biomedical engineering online 10, 1 ( 2011 ), 1–17. Abbas K Abbas, Konrad Heimann, Katrin Jergus, Thorsten Orlikowsky, and Steffen Leonhardt. 2011. Neonatal non-contact respiratory monitoring based on real-time infrared thermography. Biomedical engineering online 10, 1 (2011), 1–17.

3. Farhad Ahamed and Farnaz Farid . 2018 . Applying Internet of Things and Machine-Learning for Personalized Healthcare: Issues and Challenges. In 2018 International Conference on Machine Learning and Data Engineering (iCMLDE). 19–21 . https://doi.org/10.1109/iCMLDE.2018.00014 10.1109/iCMLDE.2018.00014 Farhad Ahamed and Farnaz Farid. 2018. Applying Internet of Things and Machine-Learning for Personalized Healthcare: Issues and Challenges. In 2018 International Conference on Machine Learning and Data Engineering (iCMLDE). 19–21. https://doi.org/10.1109/iCMLDE.2018.00014

4. Respiratory rate measurement in children using a thermal camera;Al-Kalidi Farah;International Journal of Scientific and Engineering Research,2015

5. Wearable technology: role in respiratory health and disease

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