Camera System for Efficient non-contact Measurement in Distance Medicine
| Autor: | Ofer Hadar, Jindrich Adolf, Raz Birman, Michaela Hourova, Lenka Lhotska, Jaromir Dolezal, Pavel Kral, Yoram Segal, Patrik Kutilek, Jan Hejda |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Body movement 02 engineering and technology Tracking (particle physics) Missing data Motion (physics) Non contact measurement Acceleration 0202 electrical engineering electronic engineering information engineering Calibration 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Camera resectioning |
| Zdroj: | 2020 19th International Conference on Mechatronics - Mechatronika (ME). |
| DOI: | 10.1109/me49197.2020.9286647 |
| Popis: | The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware’s performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance. |
| Databáze: | OpenAIRE |
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