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

Publication Type:
Conference Proceeding
HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction, 2011, pp. 221 - 222
Issue Date:
Filename Description Size
Thumbnail2010003261OK.pdf Published version545.91 kB
Adobe PDF
Full metadata record
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.
Please use this identifier to cite or link to this item: