Towards the analysis of movement variability in human-humanoid imitation activities

Miguel P. Xochicale, Chris Baber

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

Abstract

In this paper, we present preliminary results for the analysis of movement variability in human-humanoid imitation activities. We applied the state space reconstruction's theorem which help us to have better understanding of the movement variability than other techniques in time or frequency domains. In our experiments, we tested our hypothesis where participants, even performing the same arm movement, presented slight differences in the way they moved. With this in mind, we asked eighteen participants to copy NAO's arm movements while we collected data from inertial sensors attached to the participants' wrists and estimated the head pose using the OpenFace framework. With the proposed metric, we found that sixteen out of eighteen participants imitate the robot well by moving their arms symmetrically and by keeping their heads static; two participants however moved their head in a synchronous way even when the robot's head was completely static and two different participants moved their arms asymetrically to the robot. Although the work is in its early stage, we believe that such preliminary results are promising for applications in rehabilitation, sport science, entertainment or education.

Original languageEnglish
Title of host publicationHAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction
PublisherAssociation for Computing Machinery
Pages371-374
Number of pages4
ISBN (Electronic)9781450351133
DOIs
Publication statusPublished - 17 Oct 2017
Event5th International Conference on Human Agent Interaction, HAI 2017 - Bielefeld, Germany
Duration: 17 Oct 201720 Oct 2017

Publication series

NameHAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction

Conference

Conference5th International Conference on Human Agent Interaction, HAI 2017
Country/TerritoryGermany
CityBielefeld
Period17/10/1720/10/17

Keywords

  • Dynamics Invariants
  • Human-Humanoid Imitation
  • Human-Robot Interaction
  • Nonlinear dynamics
  • State Space Reconstruction
  • Wearable Inertial Sensors

ASJC Scopus subject areas

  • Human-Computer Interaction

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