Evaluation of Person Tracking Methods for Human-Robot Physical Play

Koyuki Ikemoto, Yutaka Hiroi, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We aim to develop a robotic system that can play physical games such as play tag with humans. To realize such a system, the system needs to detect and track persons around the robot who are rapidly moving. Tracking of persons behaving as such is a challenging task. As the first step for realizing the system, we investigated fluctuation of measurement when a person is rapidly moving along a complex path. We prepared two paths: a circular path and a zig-zag path. We measured fluctuation of velocity calculated from the measured human data. As a result, the fluctuation when running the circular path was smaller than that when walking the same path. The zig-zag movement gave the larger fluctuation. In total, the amount of fluctuation was not very larger than that when a person moves along a straight path.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages416-421
Number of pages6
ISBN (Electronic)9781728166674
DOIs
Publication statusPublished - 2020 Jan
Event2020 IEEE/SICE International Symposium on System Integration, SII 2020 - Honolulu, United States
Duration: 2020 Jan 122020 Jan 15

Publication series

NameProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020

Conference

Conference2020 IEEE/SICE International Symposium on System Integration, SII 2020
Country/TerritoryUnited States
CityHonolulu
Period20/1/1220/1/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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