InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
复制标题
InteractML:让在沉浸式媒体中从事运动交互的创意从业者能够使用机器学习
DOI:
10.1145/3489849.3489879
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Hilton C
中科院分区:
文献类型:
--
作者:
Hilton C
Interactive Machine Learning offers a method for designing movement interaction that supports creators in implementing even complex movement designs in their immersive applications by simply performing them with their bodies. We introduce a new tool, InteractML, and an accompanying ideation method, which makes movement interaction design faster, adaptable and accessible to creators of varying experience and backgrounds, such as artists, dancers and independent game developers. The tool is specifically tailored to non-experts as creators configure and train machine learning models via a node-based graph and VR interface, requiring minimal programming. We aim to democratise machine learning for movement interaction to be used in the development of a range of creative and immersive applications.
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期刊:
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DOI:
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2021
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ARTECH
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DOI:
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发表时间:
2009
期刊:
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影响因子:
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作者:
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通讯作者:
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DOI:
10.1109/cig.2019.8848007
发表时间:
2019-06
期刊:
2019 IEEE Conference on Games (CoG)
影响因子:
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作者:
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通讯作者:
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