Condrea et al., 2020 - Google Patents
In search of life: Learning from synthetic data to detect vital signs in videosCondrea et al., 2020
View PDF- Document ID
- 15021386750302160016
- Author
- Condrea F
- Ivan V
- Leordeanu M
- Publication year
- Publication venue
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
External Links
Snippet
Automatically detecting vital signs in videos, such as the estimation of heart and respiration rates, is a challenging research problem in computer vision with important applications in the medical field. One of the key difficulties in tackling this task is the lack of sufficient …
- 230000029058 respiratory gaseous exchange 0 abstract description 39
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- A61B5/0816—Measuring devices for examining respiratory frequency
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