Capturing Stillness: visualisations of dance through motion capture
捕捉静止:通过动作捕捉将舞蹈可视化
基本信息
- 批准号:AH/H03319X/1
- 负责人:
- 金额:$ 37.72万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2010
- 资助国家:英国
- 起止时间:2010 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project aims to bring together motion capture technology with established movement practices which cultivate attention on bodily awareness, and in particular Skinner Releasing Technique (SRT), to explore how sensorial awareness can be captured and what visualisations might emerge. SRT is a pioneering approach to dance which has evolved from the simple principle that when we are letting go of habitual holding patterns we can move more freely, articulately and powerfully. Joan Skinner, the American choreographer, dance improvisation pioneer and former dancer with the Martha Graham and Merce Cunningham companies, created the technique from early experiments in the 1960s. SRT utilizes image-guided floorwork to ease tension and promote an effortless kind of moving, integrated with alignment of the whole self. Tactile exercises (partner 'graphics') are used to give the imagery immediate kinaesthetic effect: spontaneous movement is evoked by imagery and guided movement studies. Motion capture is a generic name for the techniques which obtain motion data from human performers for a wide range of applications including biomechanics, sports science, ergonomics, advertising, TV and 3D computer games. Regarded as a significant component of the film and games industries, motion capture is also incorporated into arts events but it demands a level of expertise to use it effectively that is not readily achieved by artists.The project will explore how the methods and principles which characterise the practice of SRT and related practices can 'translate' to the production of visualisations for virtual environments, to shed light on contemporary ideas of interface design and display methods, and to understand more about SRT as a movement discipline. The aim is to enhance the interaction experience for audiences to produce new art experiences which are intellectually and socially engaging and can, through a re-engagement with the complexity of the moving body, generate new understandings about our relationship with our own body within the world. The project is therefore unique in that it will map a specific dance practice, embed this mapping within a game engine and test a variety of avatar visualisations in real time allowing audiences to interact and be directly involved in the process. Finally this interaction will be augmented by using these findings to immerse the player/performer into the action to create new performance spaces and experiences.
该项目旨在将动作捕捉技术与培养对身体意识的注意力的既定运动实践结合起来,特别是斯金纳释放技术(SRT),以探索如何捕捉感官意识以及可能出现的可视化。SRT是一种开创性的舞蹈方法,它从一个简单的原则演变而来,即当我们放弃习惯性的持有模式时,我们可以更自由,更清晰,更有力地移动。美国编舞家、舞蹈即兴创作先驱、玛莎·格雷厄姆和默西·坎宁安剧团的前舞者琼·斯金纳在20世纪60年代的早期实验中创造了这种技术。SRT利用图像引导的地板来缓解紧张局势,促进一种轻松的移动,与整个自我的对齐相结合。触觉练习(合作伙伴的“图形”)是用来给图像立即动觉效果:自发运动引起的图像和指导运动的研究。运动捕捉是从人类表演者获得运动数据的技术的总称,用于广泛的应用,包括生物力学,体育科学,人体工程学,广告,电视和3D电脑游戏。作为电影和游戏行业的重要组成部分,动作捕捉也被纳入艺术活动中,但它需要一定的专业知识才能有效地使用它,而艺术家并不容易做到这一点。该项目将探讨如何将SRT和相关实践的方法和原则“转化”到虚拟环境的可视化制作中,阐明当代界面设计和展示方法的思想,并更多地了解SRT作为一门运动学科。其目的是增强观众的互动体验,以产生新的艺术体验,这些体验在智力和社会上都具有吸引力,并且可以通过重新参与运动身体的复杂性,产生对我们与世界上我们自己的身体关系的新理解。因此,该项目的独特之处在于,它将映射特定的舞蹈练习,将此映射嵌入游戏引擎中,并在真实的时间内测试各种化身可视化,让观众互动并直接参与该过程。最后,这种互动将通过使用这些发现来增强,以使玩家/表演者沉浸在动作中,从而创造新的表演空间和体验。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Skinner Releasing Technique: A Movement and Dance Practice
斯金纳释放技术:动作和舞蹈练习
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Gibson R
- 通讯作者:Gibson R
Capturing Stillness: Visualisations of dance through motion/performance capture
捕捉静止:通过动作/表演捕捉舞蹈的可视化
- DOI:
- 发表时间:2011
- 期刊:
- 影响因子:0
- 作者:Gibson, R
- 通讯作者:Gibson, R
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Ruth Gibson其他文献
Ruth Gibson的其他文献
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{{ truncateString('Ruth Gibson', 18)}}的其他基金
Experience together: a live visceral sense of dance performance across the internet
一起体验:通过互联网感受现场舞蹈表演的内心感受
- 批准号:
AH/V002279/1 - 财政年份:2020
- 资助金额:
$ 37.72万 - 项目类别:
Research Grant
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论文资助:工程静止:激光干涉仪引力波天文台(LIGO)选址和信号认识论发展的历史
- 批准号:
1946555 - 财政年份:2020
- 资助金额:
$ 37.72万 - 项目类别:
Standard Grant