Data-driven analysis of interactions between people with dementia and a tablet device
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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2017-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2017-0155 |
| _version_ | 1797848694320529408 |
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| author | Doneit Wolfgang Lohse Jana Glesing Kristina Simon Clarissa Fischer Monika Depner Anamaria Kruse Andreas Franz Ingo Schultz Tanja Putze Felix Schulze Timo Engels Marc Aurel Gaerte Philipp Bothe Dietmar Ziegler Christof Maucher Irene Ricken Michael Dimitrov Todor Herzig Joachim Bernardin Keni Gehrig Tobias Mikut Ralf |
| author_facet | Doneit Wolfgang Lohse Jana Glesing Kristina Simon Clarissa Fischer Monika Depner Anamaria Kruse Andreas Franz Ingo Schultz Tanja Putze Felix Schulze Timo Engels Marc Aurel Gaerte Philipp Bothe Dietmar Ziegler Christof Maucher Irene Ricken Michael Dimitrov Todor Herzig Joachim Bernardin Keni Gehrig Tobias Mikut Ralf |
| author_sort | Doneit Wolfgang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T18:32:48Z |
| format | Article |
| id | doaj.art-338d53376e224c9cb2b949ba6acbb5f4 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-09T18:32:48Z |
| publishDate | 2017-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-338d53376e224c9cb2b949ba6acbb5f42023-04-11T17:07:14ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013273573810.1515/cdbme-2017-0155cdbme-2017-0155Data-driven analysis of interactions between people with dementia and a tablet deviceDoneit Wolfgang0Lohse Jana1Glesing Kristina2Simon Clarissa3Fischer Monika4Depner Anamaria5Kruse Andreas6Franz Ingo7Schultz Tanja8Putze Felix9Schulze Timo10Engels Marc Aurel11Gaerte Philipp12Bothe Dietmar13Ziegler Christof14Maucher Irene15Ricken Michael16Dimitrov Todor17Herzig Joachim18Bernardin Keni19Gehrig Tobias20Mikut Ralf21Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, GermanyAWO Karlsruhe gGmbH, Rahel-Straus-Straße 2, 76137 Karlsruhe, GermanyAWO Karlsruhe gGmbH, Rahel-Straus-Straße 2, 76137 Karlsruhe, GermanyAWO Karlsruhe gGmbH, Rahel-Straus-Straße 2, 76137 Karlsruhe, GermanyAWO Karlsruhe gGmbH, Rahel-Straus-Straße 2, 76137 Karlsruhe, GermanyInstitut für Gerontologie, Ruprecht-Karls-Universität Heidelberg, Bergheimer Straße 20, 69115 Heidelberg, GermanyInstitut für Gerontologie, Ruprecht-Karls-Universität Heidelberg, Bergheimer Straße 20, 69115 Heidelberg, GermanyDiakonische Hausgemeinschaften Heidelberg e.V., Georg-Mechtersheimer-Straße 13, 69126 Heidelberg, GermanyCognitive Systems Lab, Universität Bremen, Enrique-Schmidt-Str. 5, 28359 Bremen, GermanyCognitive Systems Lab, Universität Bremen, Enrique-Schmidt-Str. 5, 28359 Bremen, GermanyCognitive Systems Lab, Universität Bremen, Enrique-Schmidt-Str. 5, 28359 Bremen, GermanyMedia4Care GmbH, Schönhauser Allee 152, 10435 Berlin, Germany, e-mail: info@mediadementia.deMedia4Care GmbH, Schönhauser Allee 152, 10435 Berlin, Germany, e-mail: info@mediadementia.detopsystem Systemhaus GmbH, Monnetstraße 24, 52146 Würselen, Germanytopsystem Systemhaus GmbH, Monnetstraße 24, 52146 Würselen, GermanyDeutsche Telekom Healthcare and Security Solutions GmbH, Pascalstraße 11, 10587 Berlin, GermanyAnasoft Technology AG, Querenburger Str. 38, 44789 Bochum, GermanyAnasoft Technology AG, Querenburger Str. 38, 44789 Bochum, GermanyAnasoft Technology AG, Querenburger Str. 38, 44789 Bochum, GermanyVidemo Intelligente Videoanalyse GmbH & Co. KG, Haid-und-Neu-Straße 7, 76131 Karlsruhe, GermanyVidemo Intelligente Videoanalyse GmbH & Co. KG, Haid-und-Neu-Straße 7, 76131 Karlsruhe, GermanyInstitut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Hermann-von-Helmholtz-Platz 1,76344 Eggenstein-Leopoldshafen, GermanyIn 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.https://doi.org/10.1515/cdbme-2017-0155data miningeventsdementiatablet device |
| spellingShingle | Doneit Wolfgang Lohse Jana Glesing Kristina Simon Clarissa Fischer Monika Depner Anamaria Kruse Andreas Franz Ingo Schultz Tanja Putze Felix Schulze Timo Engels Marc Aurel Gaerte Philipp Bothe Dietmar Ziegler Christof Maucher Irene Ricken Michael Dimitrov Todor Herzig Joachim Bernardin Keni Gehrig Tobias Mikut Ralf Data-driven analysis of interactions between people with dementia and a tablet device Current Directions in Biomedical Engineering data mining events dementia tablet device |
| title | Data-driven analysis of interactions between people with dementia and a tablet device |
| title_full | Data-driven analysis of interactions between people with dementia and a tablet device |
| title_fullStr | Data-driven analysis of interactions between people with dementia and a tablet device |
| title_full_unstemmed | Data-driven analysis of interactions between people with dementia and a tablet device |
| title_short | Data-driven analysis of interactions between people with dementia and a tablet device |
| title_sort | data driven analysis of interactions between people with dementia and a tablet device |
| topic | data mining events dementia tablet device |
| url | https://doi.org/10.1515/cdbme-2017-0155 |
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