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2020 – today
- 2022
[j3]Gianfranco Mauro
, Mateusz Chmurski, Lorenzo Servadei, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos:
Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access 10: 29741-29759 (2022)- 2021
- [j2]Mateusz Chmurski, Mariusz Zubert, Kay Bierzynski, Avik Santra:
Analysis of Edge-Optimized Deep Learning Classifiers for Radar-Based Gesture Recognition. IEEE Access 9: 74406-74421 (2021) - [j1]Mateusz Chmurski, Gianfranco Mauro, Avik Santra, Mariusz Zubert, Gökberk Dagasan:
Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module. Sensors 21(21): 7298 (2021) - [c4]Muhammad Arsalan, Avik Santra, Mateusz Chmurski, Moamen El-Masry, Gianfranco Mauro, Vadim Issakov:
Radar-Based Gesture Recognition System using Spiking Neural Network. ETFA 2021: 1-5 - [c3]Gábor Balázs, Mateusz Chmurski, Walter Stechele, Mariusz Zubert:
Sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices. ICAART (2) 2021: 141-150 - [c2]Mateusz Chmurski, Mariusz Zubert:
Novel Radar-based Gesture Recognition System using Optimized CNN-LSTM Deep Neural Network for Low-power Microcomputer Platform. ICAART (2) 2021: 882-890 - [c1]Gianfranco Mauro, Mateusz Chmurski, Muhammad Arsalan, Mariusz Zubert, Vadim Issakov:
One-Shot Meta-learning for Radar-Based Gesture Sequences Recognition. ICANN (2) 2021: 500-511
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