AIMC Topic: Dancing

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Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.

Journal of Alzheimer's disease : JAD
BackgroundDancing may be protective for cognitive health among adults with mild cognitive impairment, Alzheimer's disease or dementia; however, additional methods are needed to characterize motor behavior quality in studies of dance.ObjectiveTo deter...

The use of artificial intelligence-based Siamese neural network in personalized guidance for sports dance teaching.

Scientific reports
This work aims to explore an accurate and effective method for recognizing dance movement features, providing precise personalized guidance for sports dance teaching. First, a human skeletal graph is constructed. A graph convolutional network (GCN) i...

Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study.

JMIR aging
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms. Recently, dance has started to be considered an effective intervention for people with PD. Several findings in the literature emphasize th...

The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence.

Scientific reports
The purpose of this study is to investigate how deep learning and other artificial intelligence (AI) technologies can be used to enhance the intelligent level of dance instruction. The study develops a dance action recognition and feedback model base...

Image analysis and teaching strategy optimization of folk dance training based on the deep neural network.

Scientific reports
To improve the recognition effect of the folk dance image recognition model and put forward new suggestions for teachers' teaching strategies, this study introduces a Deep Neural Network (DNN) to optimize the folk dance training image recognition mod...

Design and implementation of adolescent health Latin dance teaching system under artificial intelligence technology.

PloS one
Since various dance teaching systems have attracted much attention with the development of Artificial Intelligence (AI) technology, this paper improves the recognition performance of Latin dance teaching systems by optimizing the action recognition m...

Dancing robots: Social interactions are performed, not depicted.

The Behavioral and brain sciences
Clark and Fischer's depiction hypothesis is based on examples of western mimetic art. Yet social robots do not depict social interactions, but instead perform them. Similarly, dance and performance art do not rely on depiction. Kinematics and express...

Automatic Aesthetics Evaluation of Robotic Dance Poses Based on Hierarchical Processing Network.

Computational intelligence and neuroscience
Vision plays an important role in the aesthetic cognition of human beings. When creating dance choreography, human dancers, who always observe their own dance poses in a mirror, understand the aesthetics of those poses and aim to improve their dancin...

Research on Multimodal Dance Movement Recognition Based on Artificial Intelligence Image Technology.

Computational intelligence and neuroscience
At present, most robot dances are precompiled. Changing music requires manual adjustment of relevant parameters and metamovements, which greatly reduces the fun and intelligence. In view of the above problems, this paper designed CNN system, studied ...

Technical Note: Quantifying music-dance synchrony during salsa dancing with a deep learning-based 2D pose estimator.

Journal of biomechanics
Dance interventions hold promise for improving gait and balance in people with neurological conditions. It is possible that synchronization of movement to the music is one of the mechanisms through which dance bestows physical benefits. This technica...