Sensor Review, Volume 35, Issue 1, January 2015.
Purpose The main problem of PIN (pedestrian inertial navigation) is the accumulation of positioning errors due to the drift caused by the noise in the sensors. Experiment results show that the altitude errors are significant when navigating in multilayer buildings, which always lead to localization to incorrect floors. With this article, we aim to present a PIN solution that incorporates altitude error correction, which eliminates the altitude error accurately without using external sensors. Design/methodology/approach The PIN proposed is implemented over an INS framework and a foot-mounted IMU. The altitude error correction idea is identifying the most probable floor of each horizontal walking motion. To recognize gait types, the walking motion is described with angular rate measured by IMU, and the dynamic time warping algorithm is used to cope with the different dimension samples which due to the randomness of walking motion. After gait recognition, the altitude estimated with INS of each horizontal walking is checked for association with one of the existing in a database. Findings Experiment results show that high accuracy altitude is achieved with altitude errors below 5 centimeters for upstairs and downstairs routes in a five floors building. Research limitations/implications The main limitations of the study is the assumption that accuracy floor altitude information is available. Originality/value Our PIN system eliminate altitude errors accurately and intelligently, which benefits from the new idea of combination of gait recognition and map-matching. In addition, only one IMU is used which is different from other approach that use external sensors.
Purpose The main problem of PIN (pedestrian inertial navigation) is the accumulation of positioning errors due to the drift caused by the noise in the sensors. Experiment results show that the altitude errors are significant when navigating in multilayer buildings, which always lead to localization to incorrect floors. With this article, we aim to present a PIN solution that incorporates altitude error correction, which eliminates the altitude error accurately without using external sensors. Design/methodology/approach The PIN proposed is implemented over an INS framework and a foot-mounted IMU. The altitude error correction idea is identifying the most probable floor of each horizontal walking motion. To recognize gait types, the walking motion is described with angular rate measured by IMU, and the dynamic time warping algorithm is used to cope with the different dimension samples which due to the randomness of walking motion. After gait recognition, the altitude estimated with INS of each horizontal walking is checked for association with one of the existing in a database. Findings Experiment results show that high accuracy altitude is achieved with altitude errors below 5 centimeters for upstairs and downstairs routes in a five floors building. Research limitations/implications The main limitations of the study is the assumption that accuracy floor altitude information is available. Originality/value Our PIN system eliminate altitude errors accurately and intelligently, which benefits from the new idea of combination of gait recognition and map-matching. In addition, only one IMU is used which is different from other approach that use external sensors.