Abstract In this paper, we have described a solution for
supporting independent living of the elderly by means of
equipping their home with a simple sensor network to
monitor their behaviour. Standard home automation sensors
including movement sensors and door entry point
sensors are used. By monitoring the sensor data, important
information regarding any anomalous behaviour will be
identified. Different ways of visualizing large sensor data
sets and representing them in a format suitable for clustering
the abnormalities are also investigated. In the latter
part of this paper, recurrent neural networks are used to
predict the future values of the activities for each sensor.
The predicted values are used to inform the caregiver in
case anomalous behaviour is predicted in the near future.
Data collection, classification and prediction are investigated
in real home environments with elderly occupants
suffering from dementia.