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Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy

2017

Conference Paper

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Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction. We show that we can use these metrics to successfully identify interactions.

Author(s): Mayumi Mohan and Rochelle Mendonca and Michelle J. Johnson
Book Title: Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR)
Year: 2017
Month: July

Department(s): Haptic Intelligence
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1109/ICORR.2017.8009365

Address: London, UK
State: Published

BibTex

@inproceedings{Mohan17-ICORR-Interaction,
  title = {Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy},
  author = {Mohan, Mayumi and Mendonca, Rochelle and Johnson, Michelle J.},
  booktitle = {Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR)},
  address = {London, UK},
  month = jul,
  year = {2017},
  month_numeric = {7}
}