Georga, EI;
Gatsios, D;
Tsakanikas, V;
Kourou, KD;
Liston, M;
Pavlou, M;
Kikidis, D;
... Fotiadis, DI; + view all
(2020)
A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme.
In:
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
(pp. pp. 5544-5547).
IEEE: Montreal, QC, Canada.
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Abstract
In this study, we propose a dynamic Bayesian network (DBN)-based approach to behavioral modelling of community dwelling older adults at risk for falls during the daily sessions of a hologram-enabled vestibular rehabilitation therapy programme. The component of human behavior being modelled is the level of frustration experienced by the user at each exercise, as it is assessed by the NASA Task Load Index. Herein, we present the topology of the DBN and test its inference performance on real-patient data.Clinical Relevance- Precise behavioral modelling will provide an indicator for tailoring the rehabilitation programme to each individual's personal psychological needs.
| Type: | Proceedings paper |
|---|---|
| Title: | A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme |
| Event: | EMBC 2020 |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/EMBC44109.2020.9175435 |
| Publisher version: | https://doi.org/10.1109/EMBC44109.2020.9175435 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Task analysis , Data models , Bayes methods , Topology , Computational modeling , Load modeling , NASA |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10112549 |
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