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User Behavior Shift Detection in Ambient Assisted Living Environments
Identifying users’ frequent behaviors is considered a key step to achieving real, intelligent environments that support people in their daily lives. These patterns can be used in many different applications. An algorithm that compares current behaviors of users with previously discovered frequent be...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications Inc.
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4114411/ https://ncbi.nlm.nih.gov/pubmed/25100679 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/mhealth.2536 |
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