A person holding a PDA moves around the rooms in the building including meeting halls, offices, common rooms, printing rooms and corridors
For each tracking point i in room k, we have a vector with the signal strength values from the APs and a label corresponding to the literal name of the place (room) where the point is situated.
For each tracking point i in room k, we have a vector with the signal strength values from the APs and a label corresponding to the literal name of the place (room) where the point is situated.
Signal strength values are classified for pattern identification using data mining tool (MCubiX implementation of the decision tree algorithm).
Signal strength values are classified for pattern identification using data mining tool (MCubiX implementation of the decision tree algorithm).
Background
Background
Pervasive computing
positioning needs
Related works
The size of the PMML file containing the model generated after about 4 hours of tracking experiment using three devices is about 320 KB (200rules) and it is within the storage range of mobile devices.
The size of the PMML file containing the model generated after about 4 hours of tracking experiment using three devices is about 320 KB (200rules) and it is within the storage range of mobile devices.
Using a cross validation, the results are very encouraging with the error rate below 5%, corresponding to a 95% hit rate.
Consider a scenario where Dave is given a multimedia entertainment service on his PDA while he is in the common room for the tea break.
Consider a scenario where Dave is given a multimedia entertainment service on his PDA while he is in the common room for the tea break.
Location prediction combined with context information to determine David’s intension in proactively.
Location prediction combined with context information to determine David’s intension in proactively.