Emotional interaction with a mobile robot using hand gestures

Young Hoon Nho, Ji Won Seo, Woo Jin Seol, Dong Soo Kwon

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

8 Citations (Scopus)

Abstract

Interaction between a human and a robot can have positive effects on temperament and the development of children and can also be beneficial during psychotherapy. When a robot finishes a task, a user may want to give the robot a reward by means of emotional interaction. Here, we assume that a mobile robot is capable of emotional interactions. We design a mobile robot system which interacts with humans through the use of a LeapMotion sensor for elaborate hand gesture tracking. The designed mobile robot system combines emotional modeling and hand gesture tracking. From this, the user can express emotions and intentions using two hands at the same time. The left hand controls directions (forward, backward, right, left, and stop) and the right hand controls emotions (calm, proud, angry, passive, and depressed). If the user wants the robot to move upon a user command, the user should always consider the emotion and energy of the robot because it can move in the opposite direction or weakly when the emotion and energy levels are low. This study outlines how human can interact with a robot using intuitive hand gestures.

Original languageEnglish
Title of host publication2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages506-509
Number of pages4
ISBN (Electronic)9781479953325
DOIs
Publication statusPublished - 2014
Event2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 - Kuala Lumpur, Malaysia
Duration: 2014 Nov 122014 Nov 15

Publication series

Name2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014

Other

Other2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014
Country/TerritoryMalaysia
CityKuala Lumpur
Period14/11/1214/11/15

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction

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