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Analysis of aggregate infant measurement data, prediction of infant sleep patterns, derivation of infant models based on observations related to infant data, creation of infant models using inference, and derivation of infant development models
Analysis of aggregate infant measurement data, prediction of infant sleep patterns, derivation of infant models based on observations related to infant data, creation of infant models using inference, and derivation of infant development models
It provides mechanisms and techniques for monitoring infants more effectively to improve care content and infant development. In one example, the system includes a platform interface that receives measurement data transmitted from multiple infant monitoring systems. Many infant monitoring systems each include an infant monitoring device that collects infant measurement data and an infant monitoring hub that processes the measurement data. The system also includes a platform processor that analyzes the measurement data to identify each pattern including a first activity pattern for the infant associated with a number of infant monitoring systems. Each pattern of activity is associated with changes in measurement data over time. The platform processor creates a model based on the activity pattern. This model is used to predict the next activity of the first infant representing the first activity pattern. [Selection] Figure 3
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