Activity recognition from the interactions between an assistive robotic walker and human users

Authors:
Mitesh Patel;Jaime Valls Miro;Gamini Dissanayake
Affiliations:
University of Technology Sydney, Sydney, Australia;University of Technology Sydney, Sydney, Australia;University of Technology Sydney, Sydney, Australia
Venue:
Proceedings of the 6th international conference on Human-robot interaction
Year:
2011

Citing 1
Cited 1

Dynamic bayesian networks: representation, inference and learning

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Assistive mobility devices focusing on Smart Walkers: Classification and review

Robotics and Autonomous Systems

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Abstract

Detection of individuals' intention from a sequence of actions is an open and complex problem. In this paper we present a smart walker as mobility aid which can interpret the users' behaviour patterns to recognize their intentions and consequently act as an intelligent assistant. The result of the experiments performed in this paper demonstrates the potential of dynamic bayesian networks (DBN), in relation to their dynamic and unsupervised nature, for realistic human-robot interaction modelling.