Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy
2017
Conference Paper
hi
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}, doi = {10.1109/ICORR.2017.8009365}, month_numeric = {7} } |