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MotionCanvas: Generative Motion-Driven Interactive Art Experience

Xu, Shuai LU and Shu, Qinxin (2024) MAMM15 20241
Department of Design Sciences
Abstract
We introduce MotionCanvas, a spatial art creation tool that integrates Generative AI and motion capture technologies into artistic interactive experiences. Existing interactive platforms provide engaging environments and allow users to interact through touch or gestures. However, they are often limited by predefined interactive content and gestures, lacking the ability to respond to user movements comprehensively. We combine Generative AI models with motion capture technology to create novel forms of interactive art, with three primary objectives: 1) ensuring that the generated content aligns with the intended aesthetic, 2) advancing the possibilities for creative collaboration, and 3) minimizing latency within the interaction pipeline.... (More)
We introduce MotionCanvas, a spatial art creation tool that integrates Generative AI and motion capture technologies into artistic interactive experiences. Existing interactive platforms provide engaging environments and allow users to interact through touch or gestures. However, they are often limited by predefined interactive content and gestures, lacking the ability to respond to user movements comprehensively. We combine Generative AI models with motion capture technology to create novel forms of interactive art, with three primary objectives: 1) ensuring that the generated content aligns with the intended aesthetic, 2) advancing the possibilities for creative collaboration, and 3) minimizing latency within the interaction pipeline. The results of the user study confirm that our system can enhance user engagement and provides dynamic and immersive experiences. (Less)
Please use this url to cite or link to this publication:
author
Xu, Shuai LU and Shu, Qinxin
supervisor
organization
course
MAMM15 20241
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Interactive experience, Generative AI, Motion capture, Art creation
language
English
id
9161979
date added to LUP
2024-06-13 08:10:29
date last changed
2024-06-13 08:10:29
@misc{9161979,
  abstract     = {{We introduce MotionCanvas, a spatial art creation tool that integrates Generative AI and motion capture technologies into artistic interactive experiences. Existing interactive platforms provide engaging environments and allow users to interact through touch or gestures. However, they are often limited by predefined interactive content and gestures, lacking the ability to respond to user movements comprehensively. We combine Generative AI models with motion capture technology to create novel forms of interactive art, with three primary objectives: 1) ensuring that the generated content aligns with the intended aesthetic, 2) advancing the possibilities for creative collaboration, and 3) minimizing latency within the interaction pipeline. The results of the user study confirm that our system can enhance user engagement and provides dynamic and immersive experiences.}},
  author       = {{Xu, Shuai and Shu, Qinxin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{MotionCanvas: Generative Motion-Driven Interactive Art Experience}},
  year         = {{2024}},
}