Abstract: A method for operating a 3D body scanner, which generates a 3D body model, includes the steps of measuring an installation geometry of the 3D body scanner, calculating an optimal scanning distance between a person to be scanned and the 3D body scanner by a control unit on the basis of at least the geometry of the installation of the 3D body scanner and projecting an optical indicator for the person to be scanned on a floor in front of the 3D body scanner at the optimal scanning distance from the 3D body scanner by a position indicator projector. A 3D body scanner is configured for performing the method for operating the 3D body scanner for generating a 3D body model.

Abstract: A smart body analyzer apparatus includes a rotatable plate for supporting and turning a body, a control unit for rotating the rotatable plate, and at least one group of touch-less sensors for scanning the body. Examples of touch-less sensors include a far infrared temperature sensor and a depth sensor. The depth sensor can employ a time-of-flight imaging method, a stereoscopic imaging method, a microwave imaging method and/or a laser ranging method based on trigonometric principles.

Abstract: The invention relates to a motor driven turntable for a personal biofeedback apparatus and/or a medical diagnostic apparatus. The motor driven turntable includes a bottom plate, a rotatable top plate, a motor for driving the top plate, an integrated electronic scale for measuring the weight of a person positioned on the top plate and a wireless interface that permits communication between the scale and an external computer of the personal biofeedback apparatus and/or medical diagnostic apparatus.

Abstract: A method for extracting information about a body's skeleton from a 3D body mesh includes measuring the closest distance from every vertex of the 3-D body mesh to the centroid of the 3-D body mesh and using these measurements to compute a geodesic map of these distances. Key anchors are then extracted from the geodesic map. The geodesic map and the key anchors are used to segment the 3-D body mesh into body parts. A circumference of each body part is computed, and a centroid of the circumference is determined. For each body part, a body mean curve along the centroid is determined. Skeleton joints between the body parts and connections between these joints are determined. A 3-D body scanner employing this skeleton estimation method is also disclosed.

Abstract: A smart body analyzer apparatus includes a rotatable plate for supporting and turning a body, a control unit for rotating the rotatable plate, and at least one group of touch-less sensors for scanning the body. Examples of touch-less sensors include a far infrared temperature sensor and a depth sensor. The depth sensor can employ a time-of-flight imaging method, a stereoscopic imaging method, a microwave imaging method and/or a laser ranging method based on trigonometric principles.

Abstract: A method for creating a 3D-Model of an object exposed in front of a number of stationary sensors mounted on a mast or carrier. The sensors include depth sensors, and the method includes turning the object around while scanning the object with the sensors. The method includes segmenting of the body and fitting a virtual skeleton in the segmented body with anatomically correct degrees of freedom. The method includes following the required motions of the body as it is turning around and performing non-rigid modelling of the shape of the body for one or more defined or normalized poses around the virtual skeleton. Furthermore, the invention relates to a 3D-Body-Scanner.

Abstract: A method for extracting information about a body's skeleton from a 3D body mesh includes measuring the closest distance from every vertex of the 3-D body mesh to the centroid of the 3-D body mesh and using these measurements to compute a geodesic map of these distances. Key anchors are then extracted from the geodesic map. The geodesic map and the key anchors are used to segment the 3-D body mesh into body parts. A circumference of each body part is computed, and a centroid of the circumference is determined. For each body part, a body mean curve along the centroid is determined. Skeleton joints between the body parts and connections between these joints are determined. A 3-D body scanner employing this skeleton estimation method is also disclosed.

Abstract: A method implemented with a smart body scanner with applications for online apparel retail, fitness, and healthcare applications includes, with a plurality of depth sensors implemented in the body scanner, creating 3D depth images of a body. In a hardware processing step, 3D depth images are generated as recorded part-images with saturated bright regions and lost dark regions. In a pre-processing step, using High Dynamic Range (HDR) processing, depth data obtained in the bright regions is combined with depth data obtained in the dark regions. In a model fusion step, a single 3D body model is created from a stream of the 3D depth images obtained from multiple angles of view during rotating of the body.

Abstract: The invention relates to a motor driven turntable for a personal biofeedback apparatus and/or a medical diagnostic apparatus. The motor driven turntable includes a bottom plate, a rotatable top plate, a motor for driving the top plate, an integrated electronic scale for measuring the weight of a person positioned on the top plate and a wireless interface that permits communication between the scale and an external computer of the personal biofeedback apparatus and/or medical diagnostic apparatus.

Abstract: A method implemented with a smart body scanner with applications for online apparel retail, fitness, and healthcare applications includes, with a plurality of depth sensors implemented in the body scanner, creating 3D depth images of a body. In a hardware processing step, 3D depth images are generated as recorded part-images with saturated bright regions and lost dark regions. In a pre-processing step, using High Dynamic Range (HDR) processing, depth data obtained in the bright regions is combined with depth data obtained in the dark regions. In a model fusion step, a single 3D body model is created from a stream of the 3D depth images obtained from multiple angles of view during rotating of the body.