ICA Analysis of Face Color for Health Applications

Continuous health status updates can be useful in providingwarning signs for health problems, especially in caring for aging populations. Techniques in computer vision and statistical analysis can provide a way to automatically and remotely evaluate certain aspects of a person’s health condition. This paper describes a method for using Independent Component Analysis to analyze face color to identify potential problems. This method can be implemented using a low-cost web-camera combined with available open-source libraries.

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