Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study
BackgroundThe emergence of smartphones, wearable sensor technologies, and smart homes allows the nonintrusive collection of activity data. Thus, health-related events, such as activities of daily living (ADLs; eg, mobility patterns, feeding, sleeping, ...) can be captured without patients' acti...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
JMIR Publications,
2018-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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