標題: Pedestrian Activity Detection in a Multi-Floor Environment by a Smart Phone
作者: Lo, Chi-Chung
Chen, Yi-Hsiu
Tseng, Yu-Chee
Huang, Shang-Ming
Hung, Yu-Neng
Tseng, Chiu-Mei
Ho, Yeh-Chin
資訊工程學系
Department of Computer Science
公開日期: 2012
摘要: In 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%, respectively
URI: http://hdl.handle.net/11536/21610
ISBN: 978-1-4577-1766-6
ISSN: 1930-0395
期刊: 2012 IEEE SENSORS PROCEEDINGS
起始頁: 715
結束頁: 716
Appears in Collections:Conferences Paper