The classiÞcation of human body motion is a difÞcult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An effective approach is to use mixed discrete/continuous states to couple perception with classiÞcation. A spline contour is used to track the outline of the person. We show that for a quasi-periodic human body motion, an ...

This paper describes a system for human body analysis (segmentation, tracking, face/hands localisation, posture recognition) from a single view that is fast and completely automatic. The system first extracts low-level data and uses part of the data for high-level interpretation. It can detect and track several people even if they merge or are completely occluded by another person from the came...

The medial geniculate body in non-human species is divided into several parts, each with a different structure, physiological organization, and pattern of connections. Which parts of the human medial geniculate body and which types of neurons might be homologous to those of other species is unknown, and the object of the present study. The cytoarchitecture, fiber architecture, and neuronal orga...

Bacteriophages, viruses that infect bacteria, have re-emerged as powerful regulators of bacterial populations in natural ecosystems. Phages invade the human body, just as they do other natural environments, to such an extent that they are the most numerous group in the human virome. This was only revealed in recent metagenomic studies, despite the fact that the presence of phages in the human b...

The article calls into question the very possibility of a post-human aesthetics, starting from the following premise: rather than post-human, it is more correct to speak of post-natural, indicating by this expression a reality produced through a new type of evolution, which does not simply change human nature, but de-natures it, radically transforming it into an artefact. This post-nature which...

We describe a posture estimation system based on Organic Computing concepts, which learns a generic body model from video input in a self-governed manner. We show experimentally that the constructed model generalizes well to different attire and persons.

In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form a simple biometric consisting of distances between fixed rigidly connected body locations. This biometric is overt, and invariant to view and body posture. We use this to quantify the asymmetry of human bodies, and to...

In a healthy human, the internal tissues, e.g. blood, brain, muscle, etc., are normally free of microorganisms. However, the surface tissues, i.e., skin and mucous membranes, are constantly in contact with environmental organisms and become readily colonized by various microbial species. The mixture of organisms regularly found at any anatomical site is referred to as the normal flora. The norm...

This study describes the development to date of a computational full-body human phantom based on the VHP female dataset. Its unique feature is full compatibility both with MATLAB and specialized FEM computational software packages such as ANSYS HFSS/Maxwell 3D. Applications for low-frequency and radio-frequency electromagnetic modeling are

We propose using the human body for “storing” data used in devices for the imminent ubiquitous computing era. In the future, people will use information appliances as powerful creativity tools, using them for taking pictures, recording ideas, and recording voices. Removable medium are now widely used with such devices to record the data. However, data stored on a physical medium is troublesome ...