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BY-NC-ND 4.0 license Open Access Published by De Gruyter September 7, 2017

Data-driven analysis of interactions between people with dementia and a tablet device

  • Wolfgang Doneit EMAIL logo , Jana Lohse , Kristina Glesing , Clarissa Simon , Monika Fischer , Anamaria Depner , Andreas Kruse , Ingo Franz , Tanja Schultz , Felix Putze , Timo Schulze , Marc Aurel Engels , Philipp Gaerte , Dietmar Bothe , Christof Ziegler , Irene Maucher , Michael Ricken , Todor Dimitrov , Joachim Herzig , Keni Bernardin , Tobias Gehrig and Ralf Mikut


In the project I-CARE a technical system for tablet devices is developed that captures the personal needs and skills of people with dementia. The system provides activation content such as music videos, biographical photographs and quizzes on various topics of interest to people with dementia, their families and professional caregivers. To adapt the system, the activation content is adjusted to the daily condition of individual users. For this purpose, emotions are automatically detected through facial expressions, motion, and voice. The daily interactions of the users with the tablet devices are documented in log files which can be merged into an event list. In this paper, we propose an advanced format for event lists and a data analysis strategy. A transformation scheme is developed in order to obtain datasets with features and time series for popular methods of data mining. The proposed methods are applied to analysing the interactions of people with dementia with the I-CARE tablet device. We show how the new format of event lists and the innovative transformation scheme can be used to compress the stored data, to identify groups of users, and to model changes of user behaviour. As the I-CARE user studies are still ongoing, simulated benchmark log files are applied to illustrate the data mining strategy. We discuss possible solutions to challenges that appear in the context of I-CARE and that are relevant to a broad range of applications.

Published Online: 2017-09-07

©2017 Wolfgang Doneit et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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