Open AccessThis article is
- freely available
A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems
Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea
* Author to whom correspondence should be addressed.
Received: 20 August 2010; in revised form: 20 September 2010 / Accepted: 28 September 2010 / Published: 13 October 2010
Abstract: In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable.
Keywords: hidden Markov model; pedestrian navigation system; zero velocity update method; Kalman filter
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Park, S.K.; Suh, Y.S. A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems. Sensors 2010, 10, 9163-9178.
Park SK, Suh YS. A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems. Sensors. 2010; 10(10):9163-9178.
Park, Sang Kyeong; Suh, Young Soo. 2010. "A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems." Sensors 10, no. 10: 9163-9178.