Towards Open-World Gesture Recognition

Static machine learning methods in gesture recognition assume that training and test data come from the same underlying distribution. However, in real-world applications involving gesture recognition on wrist-worn devices, data distribution may change over time. We formulate this problem of adapting...

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Veröffentlicht in:	arXiv.org 2024-01
Hauptverfasser:	Shen, Junxiao, De Lange, Matthias, Xuhai "Orson" Xu, Zhou, Enmin, Tan, Ran, Suda, Naveen, Lazarewicz, Maciej, Kristensson, Per Ola, Karlson, Amy, Strasnick, Evan
Format:	Artikel
Sprache:	eng
Schlagworte:	Design engineering Gesture recognition Machine learning Mathematical models Parameters Performance degradation Wrist
Online-Zugang:	Volltext
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