Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement
Kopaczka M, Ozkan O, Merhof D (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Springer Verlag
Book Volume: 10590 LNCS
Pages Range: 163-170
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Catania, ITA
ISBN: 9783319707419
DOI: 10.1007/978-3-319-70742-6_15
Abstract
Infrared Thermography as imaging modality has gained increased attention over the last years. Its main advantages in human action monitoring are illumination invariance and its ability to monitor physiological parameters such as heart and respiratory rates. In our work, we present a novel approach for detecting respiratory-related data, in our case apnea events, from thermal infrared recordings. In contrast to already published methods where the subjects were required not to move, our approach uses state-of-the-art thermal face tracking technology to allow monitoring of subjects showing head movement, which is an important aspect for real-world applications. We implement different methods for apnea detection and face tracking and test them on videos of different subjects against a ground truth acquired with an established breathing rate monitoring system. Results show that our proposed approach allows robust apnea detection with moving subjects. Our methods allow using already presented or novel vital sign monitoring systems under conditions where the monitored persons are note required to keep their heads in a given position.
Involved external institutions
Germany (DE)How to cite
APA:
Kopaczka, M., Ozkan, O., & Merhof, D. (2017). Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement. In Sebastiano Battiato, Giovanni Maria Farinella, Marco Leo, Giovanni Gallo (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 163-170). Catania, ITA: Springer Verlag.
MLA:
Kopaczka, Marcin, Ozcan Ozkan, and Dorit Merhof. "Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement." Proceedings of the 19th International Conference on Image Analysis and Processing, ICIAP 2017, Catania, ITA Ed. Sebastiano Battiato, Giovanni Maria Farinella, Marco Leo, Giovanni Gallo, Springer Verlag, 2017. 163-170.
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