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Abdominal morphometric data acquisition using depth sensors

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Abstract

—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.
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hal-01697097 , version 1 (05-04-2018)

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Sylvia Piotin, Aassif Benassarou, Frédéric Blanchard, Olivier Nocent, Eric Bertin. Abdominal morphometric data acquisition using depth sensors. 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Oct 2013, Lisbon, Portugal. ⟨10.1109/HealthCom.2013.6720757⟩. ⟨hal-01697097⟩

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