A signal processing perspective on human gait: Decoupling walking oscillations and gestures

Adrien Gregorj, Zeynep Yucel, Sunao Hara, Akito Monden, Masahiro Shiomi

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

Abstract

This study focuses on gesture recognition in mobile interaction settings, i.e. when the interacting partners are walking. This kind of interaction requires a particular coordination, e.g. by staying in the field of view of the partner, avoiding obstacles without disrupting group composition and sustaining joint attention during motion. In literature, various studies have proven that gestures are in close relation in achieving such goals. Thus, a mobile robot moving in a group with human pedestrians, has to identify such gestures to sustain group coordination. However, decoupling of the inherent -walking- oscillations and gestures, is a big challenge for the robot. To that end, we employ video data recorded in uncontrolled settings and detect arm gestures performed by human-human pedestrian pairs by adopting a signal processing approach. Namely, we exploit the fact that there is an inherent oscillatory motion at the upper limbs arising from the gait, independent of the view angle or distance of the user to the camera. We identify arm gestures as disturbances on these oscillations. In doing that, we use a simple pitch detection method from speech processing and assume data involving a low frequency periodicity to be free of gestures. In testing, we employ a video data set recorded in uncontrolled settings and show that we achieve a detection rate of 0.80.

Original languageEnglish
Title of host publicationInteractive Collaborative Robotics - 4th International Conference, ICR 2019, Proceedings
EditorsGerhard Rigoll, Andrey Ronzhin, Roman Meshcheryakov
PublisherSpringer Verlag
Pages75-85
Number of pages11
ISBN (Print)9783030261177
DOIs
Publication statusPublished - Jan 1 2019
Event4th International Conference on Interactive Collaborative Robotics, ICR 2019 - Istanbul, Turkey
Duration: Aug 20 2019Aug 25 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11659 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Interactive Collaborative Robotics, ICR 2019
CountryTurkey
CityIstanbul
Period8/20/198/25/19

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Keywords

  • Gesture
  • Group coordination
  • Pedestrian
  • Social robot

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Gregorj, A., Yucel, Z., Hara, S., Monden, A., & Shiomi, M. (2019). A signal processing perspective on human gait: Decoupling walking oscillations and gestures. In G. Rigoll, A. Ronzhin, & R. Meshcheryakov (Eds.), Interactive Collaborative Robotics - 4th International Conference, ICR 2019, Proceedings (pp. 75-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11659 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-26118-4_8