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dc.contributor.authorLo, Chi-Chungen_US
dc.contributor.authorChen, Yi-Hsiuen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.contributor.authorHuang, Shang-Mingen_US
dc.contributor.authorHung, Yu-Nengen_US
dc.contributor.authorTseng, Chiu-Meien_US
dc.contributor.authorHo, Yeh-Chinen_US
dc.date.accessioned2014-12-08T15:30:10Z-
dc.date.available2014-12-08T15:30:10Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4577-1766-6en_US
dc.identifier.issn1930-0395en_US
dc.identifier.urihttp://hdl.handle.net/11536/21610-
dc.description.abstractIn door localization has attracted considerable attention recently. One approach is to use inertial sensors mounted on pedestrians to characterize the users' motions. However, few studies have focused on a multi floor environment where users' activities may include walking, running, and going up/down stairs. This paper proposes a lightweight activity detection system using inertial sensors on a smart phone to detect the behaviors of a pedestrian in the multi-floor indoor environment. The system first identifies strides using the accelerations values. It then uses the displacement, duration, and acceleration to classify their types. Our experimental results show that the stride detection accuracy is about 99%. In addition, the types of strides, namely walking, running, going upstairs, and going downstairs, can be detected with the accuracy of 94%, 91%, 95%, and 92%, respectivelyen_US
dc.language.isoen_USen_US
dc.titlePedestrian Activity Detection in a Multi-Floor Environment by a Smart Phoneen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE SENSORS PROCEEDINGSen_US
dc.citation.spage715en_US
dc.citation.epage716en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000315671100173-
Appears in Collections:Conferences Paper