@inproceedings{67a18411821c42d19ef4e8d9e58c6474,
title = "Interaction modelling for wearable assistive devices",
abstract = "An exoskeleton may help healthy older adults stay inde- pendent for a longer time by augmenting their torque at weakened joints. Predictive models are useful to develop ex- oskeletons and assess the effect of exoskeletons on the user. Existing models that predict the effect of exoskeletons on the user use pre-defined motions which do not change when the forces applied by the exoskeleton changes. In this work we have developed and tested a simulation architecture that incorporates the dynamic interaction between the user and the exoskeleton. This allows to predict modified motions due to the influence of the exoskeleton.",
keywords = "Exoskeleton, Human-exoskeleton interaction, Modelling",
author = "{De Kruif}, {Bas J.} and Leonard O'Sullivan and Emilio Schmidhauser and Stadler, {Konrad S.}",
year = "2016",
month = jun,
day = "29",
doi = "10.1145/2910674.2935837",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016 - Conference Proceedings",
note = "9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
}