Work

Abdominal morphometric data acquisition using depth sensors

Year: 2013

Type: conference-paper

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®Kinect™ 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.

Source: IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)

DOI: 10.1109/healthcom.2013.6720757

Authors: Sylvia Piotin, Aassif Benassarou, Frederic Blanchard, Olivier Nocent, Eric Bertin

Institutions: Université de Reims Champagne-Ardenne, Centre de Recherche en Sciences et Technologies de l'Information et de la Communication, Centre Hospitalier Universitaire de Reims

Language: English

Topic: Body Composition Measurement Techniques

Subfield: Physiology (medical)

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1987111176

FWCI: 4.834

Cites: 22

Cited by: 5

Related to: 10