WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practice

<p>In this paper we present the objectives and preliminary work of WhoLoDancE a Research and Innovation Action funded under the European Union‘s Horizon 2020 programme, aiming at using new technologies for capturing and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. Dance is a diverse and heterogeneous practice and WhoLoDancE will develop a protocol for the creation and/or selection of dance sequences drawn from different dance styles for different teaching and learning modalities. As dance learning practice lacks standardization beyond dance genres and specific schools and techniques, one of the first project challenges is to bring together a variety of dance genres and teaching practices and work towards a methodology for selecting the appropriate shots for motion capturing, to acquire kinetic material which will provide a satisfying proof of concept for Learning scenarios of particular genres. The four use cases we are investigating are 1) classical ballet, 2) contemporary dance, 3) flamenco and 4) Greek folk dance.</p

Towards interoperability in the european poetry community: the standardization of philological concepts

This paper stems from the Poetry Standardization and Linked Open Data project (POSTDATA). As its name reveals, one of the main aims of POSTDATA is to provide a means to publish European poetry (EP) data as Linked Open Data (LOD). Thus, developing a metadata application profile (MAP) as a common semantic model to be used by the EP community is a crucial step of this project. This MAP will enhance interoperability among the community members in particular, and among the EP community and other contexts in general (e.g. bibliographic records). This paper presents the methodology followed in the process of defining the concepts of the domain model of this MAP, as well as some issues that arise when labeling philological terms.info:eu-repo/semantics/publishedVersio

Small doubling in groups

Let A be a subset of a group G = (G,.). We will survey the theory of sets A with the property that |A.A| <= K|A|, where A.A = {a_1 a_2 : a_1, a_2 in A}. The case G = (Z,+) is the famous Freiman--Ruzsa theorem.Comment: 23 pages, survey article submitted to Proceedings of the Erdos Centenary conferenc

Introduction: self-translating, from minorisation to empowerment

This introductory chapter discusses the implications of self-translation in multilingual contexts in Europe, aiming at mapping out innovative perspectives to the study of power and, by so doing, empowering self-translation. We start by critically engaging with the ‘cultural’ and ‘power turns’ in translation studies, as a way of delineating what the particularities of self-translation are when practised by author-translators in multilingual spaces. Focusing on the European milieu, defined broadly in terms of its geographies, we then discuss multilingualism, cultural awareness and ethnic diversity as staple terms in both academic and political ideologies across Europe, emphasising that one of the aspects of multilingualism is precisely the power differentials between languages and cultures. We explore these unequal power relations and centre–periphery dichotomies of Europe’s ‘minorised’ languages, literatures and cultures, suggesting the usage of ‘minorised’ in preference to the others discussed, inasmuch as it highlights both hegemonic power hierarchies and also the continual resistance to them. This is followed by a brief overview of the emerging debates in the subdiscipline of self-translation in recent times. It is within them that we situate our contribution, arguing that the self-translators’ double affiliation as authors and translators turns them into powerful cultural and ideological mediators and places them in a privileged position to challenge (or submit to) power. Here another term, ‘self-censorship,’ is suggested as invaluable to self-translation studies where self-editing often occurs before translation is begun. Finally, the introduction presents the organisation of the book and the main ideas discussed by the 11 authors in their individual chapters

A real-time system for biomechanical analysis of human movement and muscle function

Mechanical analysis of movement plays an important role in clinical management of neurological and orthopedic conditions. There has been increasing interest in performing movement analysis in real-time, to provide immediate feedback to both therapist and patient. However, such work to date has been limited to single-joint kinematics and kinetics. Here we present a software system, named human body model (HBM), to compute joint kinematics and kinetics for a full body model with 44 degrees of freedom, in real-time, and to estimate length changes and forces in 300 muscle elements. HBM was used to analyze lower extremity function during gait in 12 able-bodied subjects. Processing speed exceeded 120 samples per second on standard PC hardware. Joint angles and moments were consistent within the group, and consistent with other studies in the literature. Estimated muscle force patterns were consistent among subjects and agreed qualitatively with electromyography, to the extent that can be expected from a biomechanical model. The real-time analysis was integrated into the D-Flow system for development of custom real-time feedback applications and into the gait real-time analysis interactive lab system for gait analysis and gait retraining. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11517-013-1076-z) contains supplementary material, which is available to authorized users