Multi-pedestrian tracking system based on asynchronized IMUs

Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin ichiro Taniguchi

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose a multi-pedestrian tracking system based on MEMS based IMUs as a novel tool for human behavior analysis. With asynchronized multiple IMUs, our system can track IMU-attached pedestrians in synchronization at a high frame rate in the large environment, compared with vision based approaches. The output data is similar to standard PDR systems as follows: the time-series position, velocity, and heading of the pedestrians in the 3D space. To realize our system, we propose a simple but effective calibration technique for synchronizing the timelines of the asynchronized IMUs. With our system, users can analyze the detailed motion behaviors of the people who participate in a group work or a collective activity, quantitatively. By combining with other sensors such as an eye tracker, our system can further provide more comprehensive data in the experiments.

Original languageEnglish
Pages (from-to)447-454
Number of pages8
JournalCEUR Workshop Proceedings
Volume2498
Publication statusPublished - 2019
EventShort Paper of the 10th International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2019 - Pisa, Italy
Duration: Sep 30 2019Oct 3 2019

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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