Leveraging Self-Attention Mechanism for Attitude Estimation in Smartphones

Inertial attitude estimation is a crucial component of many modern systems and applications. Attitude estimation from commercial-grade inertial sensors has been the subject of an abundance of research in recent years due to the proliferation of Inertial Measurement Units (IMUs) in mobile devices, su...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 22; S. 9011
Hauptverfasser:	Brotchie, James, Shao, Wei, Li, Wenchao, Kealy, Allison
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 21.11.2022 MDPI
Schlagworte:	Accelerometry Algorithms Analysis attitude estimation Beliefs, opinions and attitudes Bias Computational linguistics deep learning Employees inertial measurement unit Language processing Natural language interfaces Neural networks self-attention Sensors Smart phones Smartphone Smartphones Australia inertial measurement unit deep learning self-attention smartphone attitude estimation
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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