Improving inertial navigation systems with pedestrian locomotion classifiers

• Main Authors: Ngo, Courtney Anne M., See, Solomon L., Legaspi, Roberto S.
• Format: text
• Published: Animo Repository 2015
• Subjects: Inertial navigation systems; Machine learning; Motion detectors; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3512; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4514/type/native/viewcontent/0005242802020208.html
• Institution: De La Salle University

Researches on inertial navigation systems (INS) have formulated complex step detection algorithms and stride length estimations. But for current systems to work, INSs have to correctly identify negative pedestrian locomotion. Negative pedestrian locomotion are movements that a user can naturally mak...