Abdominal Morphometric Data Acquisition Using Depth Sensors
| Autor: | S Piotin, Aassif Benassarou, Frédéric Blanchard, Eric Bertin, Olivier Nocent |
|---|---|
| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Centre Hospitalier Universitaire de Reims (CHU Reims), Blanchard, Frédéric |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
020205 medical informatics
Multimedia business.industry 02 engineering and technology [INFO] Computer Science [cs] computer.software_genre 3. Good health Patient diagnosis Data acquisition [INFO.INFO-IM]Computer Science [cs]/Medical Imaging 0202 electrical engineering electronic engineering information engineering Medicine 020201 artificial intelligence & image processing Patient treatment [INFO]Computer Science [cs] Data mining business computer Public health policy ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 15th International Conference on e-Health Networking, Applications and Services 15th International Conference on e-Health Networking, Applications and Services, 2013, Lisbon, Portugal. pp.653--657 Healthcom 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013) 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Oct 2013, Lisbon, Portugal. ⟨10.1109/HealthCom.2013.6720757⟩ |
| DOI: | 10.1109/HealthCom.2013.6720757⟩ |
| Popis: | International audience; —The treatment of eating disorders is now part of the priority actions of the public health policy. For several years, nutritionists have been using tools relying on new digital technologies, able to provide new diagnostic elements. In this paper, we propose a complete methodology to acquire, analyse morphological data and establish typologies with low cost consumer electronics devices. We use a Microsoft R Kinect TM like peripheral to capture abdominal measurements. For each individual, we calculate two profiles in the sagittal and transverse planes respectively. The extracted quantitative information is then analyzed to build typologies of abdominal morphology. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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