A Labanotation Based Ontology for Representing Dance Movement

Proceedings of the 2014 International Workshop on Movement and Computing

Ioannidis

2014

Self Cite

In this paper, we discuss the key elements of a semantic dancemove representation model based on rule-based extractions of logical descriptions from existing Labanotation scores. This is part of a larger effort on representing and analyzing dance movement based on choreological approaches and notation systems. The main goal is to develop a Knowledge-Based System that provides functionality (a) to search by movement concepts and characteristics in a meaningful way for dance practitioners, who may not necessarily be specialists in notation or analysis, and (b) to link different manifestations of movement recordings, especially Labanotation scores. We use examples to highlight the primary and abstract representation model and outline the main challenges in interpreting and segmenting a Labanotation score to transform it in a semi-automated way into a sequence of meaningful recognizable movement concepts. We are not aiming to develop an alternative notation system, but to construct a model and methodology to access existing scores (in digital form) and exploit the underlying information about movement for further computational analysis. We take into account some existing choreological approaches, which use an analogy between dance structure analysis and morphological language studies, and identify multiple levels of describing dance and movement. Finally, we discuss limitations of our approach as well as potential uses of the "search by movement" idea and outline some theoretical observations that emerged during this work.

Section: Specific Movement Vocabularies (Smv) Layermentioning

confidence: 91%

From Dance Notation to Conceptual Models

Proceedings of the 2014 International Workshop on Movement and Computing

Ioannidis

2014

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“…Finally, the Actions descriptors consist of a list of basic, generic actions such as jump, turn, step, arm gesture etc., which are also aligned with the basic actions in Laban Movement Analysis [18] and used in other works [14] [16]. It is true that finding and applying one and only conceptual model or ontology for describing human movement is a challenging issue.…”

Section: Movement Descriptors and Vocabulariesmentioning

confidence: 99%

“…It is true that finding and applying one and only conceptual model or ontology for describing human movement is a challenging issue. While, Laban Movement Analysis and notation systems such as Labanotation [14] and Benesh [11] provide a theoretical basis for doing so, they are not part of everyday language of all dance practitioners, independent of the dance background and genre.…”

Section: Movement Descriptors and Vocabulariesmentioning

confidence: 99%

A Web-based system for annotation of dance multimodal recordings by dance practitioners and experts

Proceedings of the 5th International Conference on Movement and Computing

Kasomoulis

Katifori

et al. 2018

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Recent advances in technologies for capturing, analyzing and visualizing movement can revolutionize the way we create, practice, learn dance, and transmit bodily knowledge. The need for creating meaningful, searchable and re-usable libraries of motion capture and video movement segments can only be fulfilled through the collaboration of both technologists and dance practitioners. Towards this direction, manual annotations of these segments by dance experts can play a four-fold role: a) enrich movement libraries with expert knowledge, b) create "groundtruth" datasets for comparing the results of automated algorithms, c) fertilize a dialogue across dance genres and disciplines on movement analysis and conceptualization, and d) raise questions on the subjectivity and diversity of characterizing movement segments using verbal descriptions. The web-based application presented in this work, is an archival system with, browsing, searching, visualization, personalization and textual annotation functionalities. Its main objective is to provide access to a repository of multimodal dance recordings including motion capture data, video, and audio, with the aim to also support dance education. The tool has been designed and developed within an interdisciplinary project, following a user-centered, iterative design approach involving dance researchers and practitioners of four different dance genres.

“…Most of the relevant efforts to represent body Movement, are based on the Laban Movement Analysis and the Labanotation system [18] for analysing and notating movement [9][21] [24], and other notation systems such as Benesh [7]or Eskhol-Wachman [8]. Other attempts focus on providing semantic frameworks for annotating dance multimedia content of specific dance genres e.g., Indian dance [23] [27].…”

Section: Related Workmentioning

confidence: 99%

“…al. [9] have presented a Knowledge Based System for describing and storing dances that takes advantage of the expressivity of Description Logics. In a more recent work [12], based on choreological approaches for analysing the structure of dance they distinguish between the different abstraction levels in describing human movement.…”

Section: Related Workmentioning

confidence: 99%

A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content

Proceedings of the 5th International Conference on Movement and Computing

Whatley

Camurri

2018

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As they are mainly based on bodily experiences and embodied knowledge, dance and movement practices present a great diversity and complexity across genre and context. Thus, developing a conceptual framework for archiving, managing, curating and analysing movement data, in order to develop reusable datasets and algorithms for a variety of purposes, remains a challenge. In this work, based on relevant literature on movement representation and existing systems such as Laban Movement Analysis, as well as working with dance experts through workshops, focus groups, and interviews, we propose a conceptual framework for creating, and analysing dance learning content. The conceptual framework, has been developed within an interdisciplinary project, that brings together technology and human computer interaction researchers, computer science engineers, motion capture experts from industry and academia, as well as dance experts with background on four different dance genres: contemporary, ballet, Greek folk, and flamenco. The framework has been applied: a) as a guidance to systematically create a movement library with multimodal recordings for dance education, including four different dance genres, b) as the basis for developing controlled vocabularies of dance for manual and automated annotation, and c) as the conceptual framework to define the requirements for similarity search and feature extraction.