[HTML][HTML] Artificial intelligence in fine arts: A systematic review of empirical research

A Oksanen, A Cvetkovic, N Akin, R Latikka… - Computers in Human …, 2023 - Elsevier
Artificial intelligence (AI) tools are quickly transforming the traditional fields of fine arts and
raise questions of AI challenging human creativity. AI tools can be used in creative …

Deepdance: music-to-dance motion choreography with adversarial learning

G Sun, Y Wong, Z Cheng… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The creation of improvised dancing choreographies is an important research field of cross-
modal analysis. A key point of this task is how to effectively create and correlate music and …

Prediction of acidity levels of fresh roasted coffees using e-nose and artificial neural network

Y Thazin, T Pobkrut… - 2018 10th International …, 2018 - ieeexplore.ieee.org
As for the coming automation age, development of the sense of robot including sight,
smelling, hearing and touch is vital for robots to complement complex tasks of human …

Roboception and adaptation in a cognitive robot

A Augello, S Gaglio, I Infantino, U Maniscalco… - Robotics and …, 2023 - Elsevier
In robotics, perception is usually oriented at understanding what is happening in the external
world, while few works pay attention to what is occurring in the robot's body. In this work, we …

Creative robot dance with variational encoder

A Augello, E Cipolla, I Infantino, A Manfre… - arXiv preprint arXiv …, 2017 - arxiv.org
What we appreciate in dance is the ability of people to sponta-neously improvise new
movements and choreographies, sur-rendering to the music rhythm, being inspired by the …

[Retracted] Music Rhythm Detection Algorithm Based on Multipath Search and Cluster Analysis

S Ma - Complexity, 2021 - Wiley Online Library
Music rhythm detection and tracking is an important part of the music comprehension system
and visualization system. The music signal is subjected to a short‐time Fourier transform to …

Learning by demonstration for a dancing robot within a computational creativity framework

A Manfrè, I Infantino, A Augello… - 2017 First IEEE …, 2017 - ieeexplore.ieee.org
The paper presents a system that learns a set of movements for a creative dancing robot. A
human user only dances in front of an 3D camera, and automatically the acquisition system …

A Music-Driven Dance Generation Method Based on a Spatial-Temporal Refinement Model to Optimize Abnormal Frames

H Wang, Y Song, W Jiang, T Wang - Sensors, 2024 - mdpi.com
Since existing music-driven dance generation methods have abnormal motion when
generating dance sequences which leads to unnatural overall dance movements, a music …

A cognitive architecture for social robots

I Infantino, A Augello, U Maniscalto… - 2018 IEEE 4th …, 2018 - ieeexplore.ieee.org
The paper illustrates a software architecture allowing a robot to socially interact with human
beings, sharing with them some basilar cognitive mechanisms. Robust sensing of the …

User preference adaptive fitness of interactive genetic algorithm based ceramic disk pattern generation method

H Cai - IEEE Access, 2020 - ieeexplore.ieee.org
Pattern design in real life is a complex optimization challenge that objective function can not
express explicitly, and can be classified as an implicit target optimization problem. Owing to …