Zero-Velocity Detection—An Algorithm Evaluation

By Isaac Skog, Peter Handel, John-Olof Nilsson, J. Rantakokko. IEEE Transactions on Biomedical Engineering, 2010

630 citations recorded by the source corpus.

Subfields: Neuropsychology and Physiological Psychology

View Paper: https://www.semanticscholar.org/paper/ca3d9ac903a17822a76bfe98da091acc8dcfea10

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Changhao Chen
2. Agathoniki Trigoni
3. Andrew Markham
4. Chris Xiaoxuan Lu
5. Gianni Franchi

Citations in the corpus

• IONet: Learning to Cure the Curse of Drift in Inertial Odometry (2018, background): “Another solution is to attach an IMU on the user’s foot in order to take advantage of heel strikes for zero-velocity update to compensate system error drifts (Skog et al. 2010).”
• Using Inertial Sensors for Position and Orientation Estimation (2017, neutral): “It is possible to detect these stationary periods for example by identifying when both the angular velocity and the sensor’s acceleration are approximately zero, see [140] for a comparison between different detection methods.”