  We present a semi-automated system for sizing nasal Positive Airway Pressure
(PAP) masks based upon a neural network model that was trained with facial
photographs of both PAP mask users and non-users. It demonstrated an accuracy
of 72% in correctly sizing a mask and 96% accuracy sizing to within 1 mask size
group. The semi-automated system performed comparably to sizing from manual
measurements taken from the same images which produced 89% and 100% accuracy
respectively.
