Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
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ponedeljek, 10. julij 2023 Nuwan ATTYGALLE: Breaking Barriers in Gesture Recognition: Enhancing Accuracy through Material-Aware Training

V ponedeljek, 10. julija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. julij 2023 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Nuwan ATTYGALLE
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Nuwan Attygalle is a PhD student at UP FAMNIT with a research focus at the intersection of signal processing, HCI, and machine learning. His interests lie in exploring innovative applications and solutions in these fields. Nuwan has also served as a visiting researcher at the COIN lab at the University of Luxembourg, further expanding his knowledge and expertise in his research areas.

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NASLOV: Breaking Barriers in Gesture Recognition: Enhancing Accuracy through Material-Aware Training
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POVZETEK:

Human-computer interaction is undergoing a transformative shift, moving away from traditional interfaces (screen, keyboard and mouse) and towards more intuitive and natural interaction methods. Gesture recognition plays a crucial role in this paradigm shift, enabling participants to interact with digital devices using natural hand movements and gestures. Leveraging millimetre-wave (mmWave) radar signals that penetrate materials and are immune to environmental conditions, gesture recognition can be achieved even when devices are concealed or embedded within objects. However, the impact of everyday materials on gesture recognition accuracy remains inadequately investigated. This paper investigates whether training a machine learning model with gestures sensed through materials improves overall classification accuracy. We also explore to what extent this improvement occurs and how to achieve comparable accuracy with a model trained using fewer materials. Our findings shed light on the influence of materials on gesture recognition and provide insights into optimizing training processes for enhanced performance in real-world applications.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni!