Millimeter-wave (mmWave) radar sensors are a promising modality for gesture recognition as they can overcome several limitations of optic sensors typically used for gesture …
Radar sensing can penetrate non-conducting materials, such as glass, wood, and plastic, which makes it appropriate for recognizing gestures in environments with poor visibility …
In many industrial or healthcare contexts, keeping track of the number of people is essential. Radar systems, with their low overall cost and power consumption, enable privacy-friendly …
Q Chen, Z Cui, Z Zhou, Y Tian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In-air handwriting necessitates consistent motion tracking, in contrast to millimeter-wave (mmWave) radar-based simple gesture recognition techniques. However, during long …
P Kang, X Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Ultrasonic dynamic hand gesture recognition (U-DHGR) is a promising approach of human– computer interaction (HCI) for a broad range of emerging applications. Cross-user …
Radar sensors offer power-efficient solutions for always-on smart devices, but processing the data streams on resource-constrained embedded platforms remains challenging. This …
N Schlüsener, M Bücker - arXiv preprint arXiv:2212.08363, 2022 - arxiv.org
We develop Few-Shot Learning models trained to recognize five or ten different dynamic hand gestures, respectively, which are arbitrarily interchangeable by providing the model …
V Tammisetti, K Bierzynski, G Stettinger… - Electronics, 2024 - mdpi.com
Meta-few-shot learning algorithms, such as Model-Agnostic Meta-Learning (MAML) and Almost No Inner Loop (ANIL), enable machines to learn complex tasks quickly with limited …
Niniejsza praca przedstawia nowe metody rozpoznawania gestów 3D bez użycia kamer, w aplikacjach w branży motoryzacyjnej. W ramach realizacji pracy, dokonano przeglądu …