Leveraging Self-Attention Mechanism for Attitude Estimation in Smartphones

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 22; p. 9011
• Main Authors: Brotchie, James, Shao, Wei, Li, Wenchao, Kealy, Allison
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.11.2022; MDPI
• Subjects: Accelerometry; Algorithms; attitude estimation; Attitudes; Augmented Reality; Bias; Computational linguistics; deep learning; inertial measurement unit; Inertial navigation; Inertial navigation (Aeronautics); Inertial platforms; Kalman filters; Language processing; Microelectromechanical systems; Natural language interfaces; Neural networks; self-attention; Sensors; Smart phones; Smartphone; Smartphones; State estimation; Australia; inertial measurement unit; deep learning; self-attention; smartphone; attitude estimation

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...