A multimodal person-following system for telepresence applications

  • Authors:
  • Wee Ching Pang;Gerald Seet;Xiling Yao

  • Affiliations:
  • Nanyang Technological University;Nanyang Technological University;Nanyang Technological University

  • Venue:
  • Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
  • Year:
  • 2013

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Abstract

This paper presents the design and implementation of a multimodal person-following system for a mobile telepresence robot. A color histogram matching and position matching algorithm was developed for a person-recognition function using Kinect sensors. Robot motion was controlled by adjusting its velocity according to the humans position in relation to the robot. The robot was able to follow the targeted person in various person-following modes, such as the back-following mode, the side-by-side accompaniment mode as well as the front-guiding mode. An obstacle avoidance function was also implemented using the virtual potential field algorithm.