  The aim of the paper is to construct spatial models for the activation of
sweat glands for healthy subjects and subjects suffering from peripheral
neuropathy by using videos of sweating recorded from the subjects. The sweat
patterns are regarded as realizations of spatial point processes and two point
process models for the sweat gland activation and two methods for inference are
proposed. Several image analysis steps are needed to extract the point patterns
from the videos and some incorrectly identified sweat gland locations may be
present in the data. To take into account the errors we either include an error
term in the point process model or use an estimation procedure that is robust
with respect to the errors.
