| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8680329 | Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2017 | 9 Pages |
Abstract
Our results indicate that high-quality behavior data from real-world environments can be made available for the development of intelligent assistive systems and that the problem of noncompliance seems to be manageable. Currently, we train machine-learning algorithms to detect episodes of challenging behaviors in the recorded sensor data.
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Authors
Stefan Teipel, Christina Heine, Albert Hein, Frank Krüger, Andreas Kutschke, Sven Kernebeck, Margareta Halek, Sebastian Bader, Thomas Kirste,