Dance Dance ConvLSTM

Name: Dance Dance ConvLSTM
Creator: O'Malley, Miguel
Keywords: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2025Embargo end date: 01 Jan 2025Publisher:arXiv

Authors: O'Malley, Miguel;

doi: 10.48550/arxiv.2507.01644

arXiv: http://arxiv.org/abs/2507.01644

Dance Dance ConvLSTM

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Abstract

\textit{Dance Dance Revolution} is a rhythm game consisting of songs and accompanying choreography, referred to as charts. Players press arrows on a device referred to as a dance pad in time with steps determined by the song's chart. In 2017, the authors of Dance Dance Convolution (DDC) developed an algorithm for the automatic generation of \textit{Dance Dance Revolution} charts, utilizing a CNN-LSTM architecture. We introduce Dance Dance ConvLSTM (DDCL), a new method for the automatic generation of DDR charts using a ConvLSTM based model, which improves upon the DDC methodology and substantially increases the accuracy of chart generation.

15 pages, 9 figures, 4 tables

Keywords

Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

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