This paper presents a probabilistic framework of assembling detected human body parts into a full 2D human configuration. The face, torso, legs and hands are detected in cluttered scenes using boosted body part detectors trained by AdaBoost. Body configurations are assembled from the detected parts using RANSAC, and a coarse heuristic is applied to eliminate obvious outliers. An a priori mixtur...

There is a high frequency of diarrhea and vomiting in childhood. As a consequence the focus of the present review is to recognize the different body fluid compartments, to clinically assess the degree of dehydration, to know how the equilibrium between extracellular fluid and intracellular fluid is maintained, to calculate the effective blood osmolality and discuss both parenteral fluid requirm...

Word meaning processing in the brain involves ventrolateral temporal cortex, but a semantic contribution of the dorsal stream, especially frontocentral sensorimotor areas, has been controversial. We here examine brain activation during passive reading of object-related nouns from different semantic categories, notably animal, food, and tool words, matched for a range of psycholinguistic feature...

This paper proposes an approach to compute and evaluate view-normalized body part trajectories of pedestrians from monocular video sequences. The proposed approach uses the 2D trajectories of both feet and of the head extracted from the tracked silhouettes. On that basis, it segments the walking trajectory into piecewise linear segments. Finally, a normalization process is applied to head and f...

This paper presents some considerations concerning measurements of the human body stability as a main part of the bio-behavioral analyses in order to optimize occupational comfort or detecting some mobility deficiencies or even attention failures. The methodology and the investigations procedures are presented in the second part of the paper and in the final part the results and the conclusions...

This paper describes an approach to human action recognition based on the probabilistic optimization model of body parts using Hidden Markov Model (HMM). Our proposed method is able to distinguish between similar actions by only considering the body parts having major contribution to the actions, for example, legs for walking, jogging and running; hands for boxing, waving and clapping. We apply...

In relation to inanimates, nouns that normally denote body parts when constructed in relation to an animate whole (pied ‘foot’, tête ‘head’, etc.) lose their literal meaning in French and acquire instead a spatial interpretation. This paper argues that spatial part Ns in French divide into two coherent groups with distinct properties: fixed spatial part terms, which denote concrete, perceptible...

Imitation is an important constituent of the behavioral repertoire of human beings. We use imitation for learning motor skills, for facilitating comprehension of other persons' actions and mental states, and as a communicative reference to actions or people. Although some non-human species display imitative behaviors, none of them equals the versatility and perfection of human imitation. The ve...

This series of four papers comprises a theoretical investigation into twisting somersaults. Both simple and complex mathematical models are used to provide an understanding of the mechanics of the production and removal of twist in somersaults. Various twisting techniques are evaluated and a method is developed for the partitioning of an actual performance into contributions from these twisting...