Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
829
result(s) for
"Dance notation."
Sort by:
Drawing the surface of dance : a biography in charts
\"Soloing on the page, choreographer Annie-B Parson rethinks choreography as dance on paper. Parson draws her dances into new graphic structures calling attention to the visual facts of each dance work she has made. These drawings serve as both maps of her pieces in the aftermath of performance, and as a consideration of the elements of dance itself. Within the duality of form and content, this book explores the meanings that form itself holds. Parson's charts of choreaographic ideas inspire new thinking around the shared elements underneath all art making\"-- Provided by publisher.
Book
Leaping into Dance Literacy through the Language of Dance
The main aim of this book is to present the theory and purpose underpinning the approaches to dance literacy as explored by the Language of Dance® community in the USA and UK. Through their teacher training programs, they are changing the face of dance-based dance literacy using motif notation.
Through their teacher training programs, they are changing the face of dance-based dance literacy using motif notation. This book reveals how dance notation literacy has changed due to practices being focused on constructivist and constructionist pedagogy. Based on work by dance educator Ann Hutchinson Guest and expanded upon by her protégés, this is the first book of its kind to bring together theory, praxis, original research outcomes, taxonomies, model lesson plans, learning domain taxonomies of dance, and voices of dance teachers who have explored using dance notation literacy. We are in a new era for educating with dance notation, focusing on learners' engagement by making connections between the learning domains using constructivist and constructionist learning approaches.
Arts-literate dancers can deepen their dance craft and transfer their arts knowledge, capacities, and skills to lifelong learning. Dance-based dance literacy practices using notation enhance learners' flexibility, adaptability, self-direction, initiative, productivity, responsibility, leadership, and cross-cultural skills.
The book will appeal to dance educators focusing on cognitive and metacognitive learning in dance using communication, problem-solving, and critical thinking.
Useful for preschool and primary teachers aiming to integrate dance into classroom experiences and for secondary teachers teaching dance and looking to upgrade their approach to dance literacy so students are able to achieve higher level cognitive learning, problem solving, and social skills in dance classrooms.
Choreographers and dance teachers will find new approaches to dance making and to expressing their craft using a system that is well codified and now augmented with examples to guide them with making their own projects and processes.
Anyone with an interest in the idea of dance literacy will find concrete examples of how to put their knowledge into practice to advance their teaching and dance making.
eBook
Dancing across the page
An innovative exploration of understanding through dance, Dancing Across the Page draws on the frameworks of phenomenology, feminism and postmodernism to offer readers an understanding of performance studies that is grounded in personal narrative and lived experience. Through accounts of contemporary dance making, improvisation and dance education, Karen Barbour explores a diversity of themes, including power, activism, and cultural, gendered and personal identity. An intimate yet rigorous investigation of creativity in dance, Dancing Across the Page emphasizes embodied knowledge and imagination as a basis for creative action in the world.
eBook
Some Hypotheses on Being Possessed: The Body as a Vessel
[...]just because all one hears is noise does not mean that the spirits are not speaking through the body. [...]the ongoing maintenance of the individualized selves can be analyzed as a never-ending exorcising process, that which tries to expel what is constitutively me as not-me in order to fabricate an illusion of coherence. Ritual provides a contingent form to edge into the formlessness of life and death.
Journal Article
Laban's Choreosophical Model: Movement Visualisation Analysis and the Graphic Media Approach to Dance Studies
This paper explores the impact Rudolf Laban's graphic approach has had on movement analysis and an analytical approach to dance-movement based on an understanding of human motion as a collection of fixed points in a movement continuum. Central to this approach is the idea that movement can be captured graphically for its analysis via different techniques of graphic representation: including drawing, 3D modelling, graphs, diagrams and notation. The article also argues that graphic models play a key role in the development of Laban's theory of harmonic space. Based on a series of geometric and topological models Laban was able to develop a material method as part of his creative research on movement analysis. My claim is that Laban's graphic approach encourages the use of visual media and technologies of graphic inscription as inventive methods for the better understanding of movement, which is why Laban's thinking can be adequately reconceptualised using technologies like video and motion capture. As a unit of analysis, this article explores one of Laban's most fundamental and yet least known material models: the spheric form. I argue that this model presents us with a much broader understanding of Laban's movement analysis as a form of material thinking, and not only within the context of dance-training, but as part of a vision of the dance that is complete in its philosophical perspectives, and which Laban called choreosophy. This article finishes with a brief examination of C8's choreography 'Solid Sense' (performed in 2011), which in the author's opinion exemplifies, as creative research, some of the central preoccupations of Laban's choreosophical studies.
Journal Article
The Path of Sadhana: A Life Spent in Search of the Ancient Wisdom of Acting. Interview with Gopal Venu
Venu has occupied the world of the performing arts for nearly seven decades, beginning with his initiation into Kathakali, the unique classical dance-drama indigenous to Kerala, at the young age of ten years. [...]Venu has played a significant role in the rejuvenation of many classical and folk art forms of Kerala including Kutiyattam, Nangiarkoothu, Mudiyettu (Ritual Theatre), Kakkarissi Natakam (Folk Theatre), Tholpavakoothu (Shadow Puppetry) and Pavakathakali (Glove Puppetry). [IMAGE REMOVED.] This training system is the result of my nearly seven decade-long practice and enquiry into the world of performing art forms that started when I was 11 years old, when I studied Kathakali under some of Kerala’s leading masters. [IMAGE REMOVED.] I was blessed with the opportunity to receive training in Kutiyattam under one of the living legends of the art form during the 80s, Guru Ammannur Madhava Chakyar, who gained international acclaim as he performed all over the world, including the UNESCO headquarters in Paris, 2001, on the occasion of recognizing the art form as a Masterpiece of the Oral and Intangible Heritage of Humanity.
Journal Article
Assessing the reliability of the Laban Movement Analysis system
The Laban Movement Analysis system (LMA) is a widely used system for the description of human movement. Here we present results of an empirical analysis of the reliability of the LMA system. Firstly, we developed a directed graph-based representation for the formalization of LMA. Secondly, we implemented a custom video annotation tool for stimulus presentation and annotation of the formalized LMA. Using these two elements, we conducted an experimental assessment of LMA reliability. In the experimental assessment of the reliability, experts-Certified Movement Analysts (CMA)-were tasked with identifying the differences between a \"neutral\" movement and the same movement executed with a specific variation in one of the dimensions of the LMA parameter space. The videos represented variations on the pantomimed movement of knocking at a door or giving directions. To be as close as possible to the annotation practice of CMAs, participants were given full control over the number of times and order in which they viewed the videos. The LMA annotation was captured by means of the video annotation tool that guided the participants through the LMA graph by asking them multiple-choice questions at each node. Participants were asked to first annotate the most salient difference (round 1), and then the second most salient one (round 2) between a neutral and gesture and the variation. To quantify the overall reliability of LMA, we computed Krippendorff's α. The quantitative data shows that the reliability, depending on how the two rounds are integrated, ranges between a weak and an acceptable reliability of LMA. The analysis of viewing behavior showed that, despite relatively large differences at the inter-individual level, there is no simple relationship between viewing behavior and individual performance (quantified as the level of agreement of the individual with the dominant rating). This research advances the state of the art in formalizing and implementing a reliability measure for the Laban Movement Analysis system. The experimental study we conducted allows identifying some of the strengths and weaknesses of the widely used movement coding system. Additionally, we have gained useful insights into the assessment procedure itself.
Journal Article
Real-Time Recognition of Korean Traditional Dance Movements Using BlazePose and a Metadata-Enhanced Framework
This study presents the implementation of an AI-based prototype for recognizing Korean traditional dance movements using a metadata-enhanced dataset. The research was conducted in three stages. First, a classification framework was developed to reflect the unique characteristics of Korean traditional dance. Second, video data were collected from existing and newly filmed sources, and a metadata set was created by labeling five fundamental movements for training. Third, the BlazePose model was applied to generate real-time skeletal key points, which were integrated with the metadata-enhanced dataset and processed using a customized approach to recognize dance movements in real time. The developed prototype successfully recognizes five fundamental Korean traditional dance movements and demonstrates the potential of AI technology in analyzing complex motion patterns. By integrating existing AI models with a domain-specific dataset, this study provides a systematic approach to the digital preservation and modern reinterpretation of traditional arts. Furthermore, the methodology can be extended to recognize dance movements from other cultures, offering new possibilities for the preservation and transmission of intangible cultural heritage through digital technology.
Journal Article
Dancing in the archives. Choreographers' notes and drawings as sources for art history
In 1991, dance historian Laurence Louppe opened an exhibition at the Musées de Marseille, devoted to forms of dance writing, choreographers’ drawings, and various notation systems, such as the Feuillet notation (1700) and Labanotation2 (1928). The accompanying catalog revisits these often-overlooked sources, shedding light on their significance not only for the history of dance but also for the history of art. Louppe’s perspective intertwines the history of choreographic notation with more freeform practices, such as sketches and informal notes that inform the creative process. Through her work, Louppe has opened up a critical space for inquiry, posing a series of compelling questions about the relationship between drawing and dance, the evolution of graphic culture, and its manifestation through gesture. While the catalog raises many important questions, it also offers a generous invitation for further research.
Journal Article
A Motion Capture Data-Driven Automatic Labanotation Generation Model Using the Convolutional Neural Network Algorithm
All human movements can be effectively represented with labanotation, which is simple to read and preserve. However, manually recording the labanotation takes a long time, so figuring out how to use the labanotation to accurately and quickly record and preserve traditional dance movements is a key research question. An automatic labanotation generation algorithm based on DL (deep learning) is proposed in this study. The BVH file is first analyzed, and the data are then converted. On this foundation, a CNN (convolutional neural network) algorithm for generating the dance spectrum of human lower-limb movements is proposed, which is very good at learning action space information. The algorithm performs admirably in terms of classification and recognition. Finally, a spatial segmentation-based automatic labanotation generation algorithm is proposed. To begin, every frame of data is converted into a symbol sequence using spatial law, resulting in a very dense motion sequence. The motion sequence is then regulated according to the minimum beat of motion obtained through wavelet analysis. To arrive at the final result, the classifier is used to determine whether each symbol is reserved or not. As a result, we will be able to create more accurate dance music for simple human movements.
Journal Article