Interactive dancing game with real-time recognition of continuous dance moves from 3D human motion capture

Jeff K.T. Tang, Jacky C.P. Chan, Howard Leung

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

27 Citations (Scopus)

Abstract

We have implemented an interactive dancing game using optical 3D motion capture technology. We propose a Progressive Block Matching algorithm to recognize the dance moves performed by the player in real-time. This makes a virtual partner be able to recognize and respond to the player's movement without a noticeable delay. The completion progress of a move is tracked progressively and the virtual partner's move is rendered in synchronization with the player's current action. Our interactive dancing game contains moves with various difficulty levels that suits for both novices and skillful players. Through animating the virtual partner in response to the player's movements, the player gets immersed into the virtual environment. A user test is performed to have a subjective evaluation of our game and the feedbacks from the subjects are positive. Copyright 2011 ACM.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011
DOIs
Publication statusPublished - 2011
Event5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011 - Seoul, Korea, Republic of
Duration: 21 Feb 201123 Feb 2011

Conference

Conference5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011
Country/TerritoryKorea, Republic of
CitySeoul
Period21/02/1123/02/11

Research Keywords

  • 3D human motion capture
  • Continuous motion recognition
  • Human-computer interaction
  • Interactive dancing game

Fingerprint

Dive into the research topics of 'Interactive dancing game with real-time recognition of continuous dance moves from 3D human motion capture'. Together they form a unique fingerprint.

Cite this