Improving the human-robot interaction through emotive movements A special case: Walking

Matthieu Destephe, Takayaki Maruyama, Massimiliano Zecca, Kenji Hashimoto, Atsuo Takanishi

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

8 Citations (Scopus)

Abstract

Walking is one of the most common activities that we perform every day. If the main goal of walking is to go from a point A to a point B, walking can also convey emotional clues in social context. Those clues can be used to improve interactions or any messages we want to express. We observed a professional actress perform emotive walking and analyzed the recorded data. For each emotion, we found characteristic features which can be used to model gait patterns for humanoid robots. The findings were assessed by subjects who were asked to recognize the emotions displayed in the acts of walking.

Original languageEnglish
Title of host publicationHRI 2013 - Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction
Pages115-116
Number of pages2
DOIs
Publication statusPublished - 2013 Apr 8
Event8th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2013 - Tokyo, Japan
Duration: 2013 Mar 32013 Mar 6

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Other

Other8th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2013
CountryJapan
CityTokyo
Period13/3/313/3/6

Keywords

  • emotion
  • gait analysis
  • humanoid robot
  • walking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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    Destephe, M., Maruyama, T., Zecca, M., Hashimoto, K., & Takanishi, A. (2013). Improving the human-robot interaction through emotive movements A special case: Walking. In HRI 2013 - Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction (pp. 115-116). [6483528] (ACM/IEEE International Conference on Human-Robot Interaction). https://doi.org/10.1109/HRI.2013.6483528