Human localization and tracking using distributed motion sensors and an inertial measurement unit

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

The purpose of this research is to localize a resident in indoor environments by using distributed binary sensors and body activity information obtained from an inertial measurement unit (IMU). The hardware setup consists of two types of sensor nodes. The passive infrared (PIR) sensor node provides binary information about motion in its field of view, while the IMU sensor node collects motion data for body activity recognition, walking velocity and heading estimation. Basic human activities such as sitting, sleeping, standing and walking are recognized. We proposed a particle filter-based sensor fusion algorithm that considers a behavior-based map to increase the localization accuracy. Experiments were conducted in a mock apartment testbed. We used the ground truth data obtained from a motion capture system to evaluate the results.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2127-2132
Number of pages6
ISBN (Electronic)9781467396745
DOIs
StatePublished - 2015
EventIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China
Duration: 6 Dec 20159 Dec 2015

Publication series

Name2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Conference

ConferenceIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Country/TerritoryChina
CityZhuhai
Period6/12/159/12/15

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