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Dance is an essential component of human culture and serves as a tool for conveying emotions and telling stories. Identifying and distinguishing dance genres based on motion data is a complex problem in human activity recognition, as many…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Ben Hamscher , Arnold Brosch , Nicolas Binninger , Maksymilian Jan Dejna , Kira Maag

The concept of walking wave is introduced from classical relativistic positions. One- and three-dimensional walking waves considered with their wave equations and dispersion equations. It is shown that wave characteristics (de Broglie's and…

General Physics · Physics 2012-05-03 A. V. Goryunov

This paper asks to what extent social interaction influences one's behavior. We study this in the setting of two dancers dancing as a couple. We first consider a baseline in which we predict a dancer's future moves conditioned only on their…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Vongani Maluleke , Lea Müller , Jathushan Rajasegaran , Georgios Pavlakos , Shiry Ginosar , Angjoo Kanazawa , Jitendra Malik

Music semantics is embodied, in the sense that meaning is biologically mediated by and grounded in the human body and brain. This embodied cognition perspective also explains why music structures modulate kinetic and somatosensory…

Computer Vision and Pattern Recognition · Computer Science 2021-12-13 Francisco Afonso Raposo , David Martins de Matos , Ricardo Ribeiro

Dancing to music is an instinctive move by humans. Learning to model the music-to-dance generation process is, however, a challenging problem. It requires significant efforts to measure the correlation between music and dance as one needs…

Computer Vision and Pattern Recognition · Computer Science 2019-11-06 Hsin-Ying Lee , Xiaodong Yang , Ming-Yu Liu , Ting-Chun Wang , Yu-Ding Lu , Ming-Hsuan Yang , Jan Kautz

The relationship between classical and quantum mechanics is explored in an intuitive manner by the exercise of constructing a wave in association with a classical particle. Using special relativity, the time coordinate in the frame of…

General Physics · Physics 2008-12-08 C. L. Herzenberg

The paper describes results on two components of a research program focused on motion-based communication mediated by the dynamics of a control system. Specifically we are interested in how mobile agents engaged in a shared activity such as…

Systems and Control · Computer Science 2011-09-29 J. Baillieul , K. Özcimder

A bouncing droplet, self-propelled by its interaction with the waves it generates, forms a classical wave-particle association called a "walker." Previous works have demonstrated that the dynamics of a single walker is driven by its global…

Existing AI-generated dance methods primarily train on motion capture data from solo dance performances, but a critical feature of dance in nearly any genre is the interaction of two or more bodies in space. Moreover, many works at the…

Machine Learning · Computer Science 2025-03-07 Zixuan Wang , Luis Zerkowski , Ilya Vidrin , Mariel Pettee

A droplet bouncing on the surface of a vibrating liquid bath can move horizontally guided by the wave it produces on impacting the bath. The wave itself is modified by the environment, and thus the interactions of the moving droplet with…

Fluid Dynamics · Physics 2019-07-19 Rahil N. Valani , Anja C. Slim

Generative models for audio-conditioned dance motion synthesis map music features to dance movements. Models are trained to associate motion patterns to audio patterns, usually without an explicit knowledge of the human body. This approach…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Davide Moltisanti , Jinyi Wu , Bo Dai , Chen Change Loy

Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored, is the actual structure of the waves -- their shapes and patterns over finite timescales. To…

Neurons and Cognition · Quantitative Biology 2022-05-10 Clarissa Hoffman , Jingheng Cheng , Daoyun Ji , Y. Dabaghian

Dance performance traditionally follows a unidirectional relationship where movement responds to music. While AI has advanced in various creative domains, its application in dance has primarily focused on generating choreography from…

Sound · Computer Science 2025-06-16 Olga Vechtomova , Jeff Bos

To generate dance that temporally and aesthetically matches the music is a challenging problem, as the following factors need to be considered. First, the aesthetic styles and messages conveyed by the motion and music should be consistent.…

Multimedia · Computer Science 2022-07-18 Ho Yin Au , Jie Chen , Junkun Jiang , Yike Guo

This study introduces a novel mechanistic modeling and statistical framework for analyzing motion energy dynamics within psychotherapy sessions. We transform raw motion energy data into an interpretable narrative of therapist-patient…

Neurons and Cognition · Quantitative Biology 2023-07-21 Itai Dattner

Digitally presenting physiological signals as biofeedback to users raises awareness of both body and mind. This paper describes the effectiveness of conveying a physiological signal often overlooked for communication: breathing. We present…

Human-Computer Interaction · Computer Science 2018-06-25 Jérémy Frey , May Grabli , Ronit Slyper , Jessica Cauchard

Shock wave theory was first studied for gas dynamics, for which shocks appear as compression waves. A shock wave is characterized as a sharp transition, even discontinuity in the flow. In fact, shocks appear in many different physical…

Analysis of PDEs · Mathematics 2007-05-23 Tai-Ping Liu

In classical continuum physics, a wave is a mechanical disturbance. Whether the disturbance is stationary or traveling and whether it is caused by the motion of atoms and molecules or the vibration of a lattice structure, a wave can be…

Fluid Dynamics · Physics 2014-04-14 Ivan C. Christov

Dance and music are two highly correlated artistic forms. Synthesizing dance motions has attracted much attention recently. Most previous works conduct music-to-dance synthesis via directly music to human skeleton keypoints mapping.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-17 Zijie Ye , Haozhe Wu , Jia Jia , Yaohua Bu , Wei Chen , Fanbo Meng , Yanfeng Wang

Collective improvisation in dance provides a rich natural laboratory for studying emergent coordination in coupled neuro-motor systems. Here, we investigate how training shapes spontaneous synchronization patterns in both movement and brain…

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