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Connecting people through dance: ENU-developed tech heads to world’s biggest gaming conference

Connecting people through dance: ENU-developed tech heads to world’s biggest gaming conference
Aug 21, 2024

Source Edinburgh Napier News
Summary Immersive game Carousel Dancing aims to combat loneliness through fun. The Edinburgh Napier University (ENU) team behind new immersive gaming technology, which aims to tackle loneliness and social isolation through dance, are showcasing it at the world’s biggest video games event.

Carousel Dancing is a revolutionary dance game which allows players in different locations to interact in virtual reality using digital dance avatars and artificial intelligence (AI). It will feature new technology, called DanceGraph, which is being developed and patented by ENU.
Linked Funders EC European Commission
People Kenny Mitchell
Outputs DanceGraph: A Complementary Architecture for Synchronous Dancing Online
NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction
DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction
Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments
Org Units School of Computing
School of Computing Engineering and the Built Environment
Projects CAROUSEL+ Telepresent Dance Reducing Social Distancing
Research Areas Interactive graphics and simulation
Themes AI and Technologies
Culture and Communities
Health
Research Centres/Groups Centre for Artificial Intelligence and Robotic
Centre for Algorithms, Visualisation and Evolving Systems
URL https://www.napier.ac.uk/about-us/news/carousel-gamescom-dancegraph
This news contributes to the following UN Sustainable Development Goals
SDG 3 - Good Health and Well-Being
60-second pitch at the Converge Challenge 2025

60-second pitch at the Converge Challenge 2025
Jun 12, 2025

Summary Dr Abdelfateh Kerrouche of Edinburgh Napier University delivered a compelling 60-second pitch at the Converge Challenge 2025, unveiling DeepSeaLab a start-up business for —a cutting-edge autonomous system designed to monitor water quality in real time. Combining robotics, AI and advanced sensors, DeepSeaLab offers a smart, scalable solution for sustainable aquaculture and environmental protection. The innovation aims to support clean oceans and data-driven marine management.
People Abdelfateh Kerrouche
Imed Romdhani
Karen Diele
Libu Manjakkal
Research Areas Sensors
Automation
Biodiversity
Environmental microbiology/Molecular Ecology/AMR
Themes Environment
Research Centres/Groups Centre for Artificial Intelligence and Robotic
Centre for Cybersecurity, IoT and Cyberphysical Systems
Centre for Conservation and Restoration Science