Work

mmGAN: Semi-Supervised GAN for Improved Gesture Recognition in mmWave ISAC Systems

Year: 2025

Type: other

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18595773

Authors: Bhat, Nabeel Nisar, Kumar, Siddhartha, Moghaddam, Mohammad Hossein, Struye, Jakob, Lacruz, Jesus Omar, Pegoraro, Jacopo, Widmer, Joerg, Berkvens, Rafael, Famaey, Jeroen

Institutions: University of Antwerp, IMEC, Simula UiB, Qamcom Research and Technology (Sweden), IMDEA Networks

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Awards: Advancing 6G-RAN through multi-technology, multi-sensor fusion, multi-band and multi-static perception, G1617124451, A holistic flagship towards the 6G network platform and system, to inspire digital transformation, for the world to act together in meeting needs in society and ecosystems with novel 6G services

OpenAlex ID: W7128621458

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