@inproceedings{e2cd1507529c4b1ba4fdec709a1eb931,
title = "Smartphone-based Pedestrian localization algorithm using inertial and light sensors",
abstract = "To assist clinical profession for further diagnosis, patients are usually ordered to do additional examinations in the outpatient clinic process. However, patients are easily to get lost for a visit due to the complex environment and poor wayfinding in the hospital. In this work, the smartphone-based localization system is developed using inertial sensors and light sensor. The proposed positioning algorithm combines the motion model (Pedestrian Dead Reckoning and Footpath approaches) and the light model. The proposed positioning algorithm utilizes the step information, the map information, and the light information to improve the performance of Pedestrian Dead Reckoning and Footpath approaches.",
keywords = "Inertial sensors, Light sensor, Pedestrian localization algorithm, Smartphone",
author = "Cheng, {Hui Chun} and Liu, {Kai Chun} and Hsieh, {Chia Yeh} and Chan, {Chia Tai}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Applied System Innovation, ICASI 2017 ; Conference date: 13-05-2017 Through 17-05-2017",
year = "2017",
month = jul,
day = "21",
doi = "10.1109/ICASI.2017.7988416",
language = "English",
series = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "319--322",
editor = "Teen-Hang Meen and Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.}",
booktitle = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation",
address = "美國",
}