AIMC Topic: Dancing

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Analysis of Main Movement Characteristics of Hip Hop Dance Based on Deep Learning of Dance Movements.

Computational intelligence and neuroscience
In order to explore the main action characteristics of hip hop dance, a deep learning recognition system based on dance action is proposed. The network is based on convolution, pooling, and full connection calculation in a convolutional neural networ...

Automatic Arrangement of Sports Dance Movement Based on Deep Learning.

Computational intelligence and neuroscience
Sports dance is a new form of sports that integrates sports, dance, music, and other elements. The core content of "dance" is an important carrier for athletes to display their body art. This article aims to study the automatic arrangement of sports ...

Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.

PloS one
Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olympic Games, the assessment of hip-hop performance is undertaken by a panel of judges. The purpose of this study was to determine the reliability of diff...

Older adults' acceptance of a robot for partner dance-based exercise.

PloS one
Partner dance has been shown to be beneficial for the health of older adults. Robots could potentially facilitate healthy aging by engaging older adults in partner dance-based exercise. However, partner dance involves physical contact between the dan...

Evaluation by Expert Dancers of a Robot That Performs Partnered Stepping via Haptic Interaction.

PloS one
Our long-term goal is to enable a robot to engage in partner dance for use in rehabilitation therapy, assessment, diagnosis, and scientific investigations of two-person whole-body motor coordination. Partner dance has been shown to improve balance an...

Ethnic dance movement instruction guided by artificial intelligence and 3D convolutional neural networks.

Scientific reports
This study aims to explore the potential application of artificial intelligence in ethnic dance action instruction and achieve movement recognition by utilizing the three-dimensional convolutional neural networks (3D-CNNs). In this study, the 3D-CNNs...

Improved generative adversarial networks model for movie dance generation.

PloS one
To address the challenges of innovation and efficiency in film choreography, this study proposes a dance generation model based on the generative adversarial networks. The model is trained using the AIST++ dance motion dataset, incorporating data fro...