Mode-Independent Stride Length Estimation With IMUs in Smartphones

• Published in: IEEE sensors journal Vol. 22; no. 6; pp. 5824 - 5833
• Main Authors: Bo, Fan, Li, Jia, Wang, Weibing
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.03.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Algorithms; Data models; Dead reckoning; deep learning; domain adaptation; Evaluation; Feature extraction; Inertial platforms; inertial sensors; mode-independent; Neural networks; Sensors; Smart phones; Smartphones; Stride length estimation; Task analysis; Training

Robust and accurate human stride length estimation (SLE) using smartphone integrated inertial measurement units (IMU) is essential in pedestrian dead reckoning (PDR) and mobile health applications. However, the change of smartphone carrying mode (i.e. sensor location) in daily usage often leads to s...