Modeling and Understanding Human Routine Behavior

‘Needs’ define the requirements (physical or non-physical) that must be fulfilled to achieve desired satisfaction. ‘Actions’ are the set of interactions with the urban

For artificial agent supervision, the comparison between correct re- sponses and error detection based on permutation analysis revealed one significant cluster in a

The method we propose is based on the combination of simulation logs analysis (objective part) and answers to a behavior questionnaire (subjective part). The simulation data

We calculate three mass features - (difference area, Distance of Action and Center variance on x axis)- from the MHI image of the video to separate the ten actions into two

To test whether the empirical data behaves as good as the synthetic data we calculated the KS and KS W statistics between the empirical data and its best fit and compared these

Unlike [12] and other predictability studies [4–7, 10] where human mobility is considered as a whole, here we propose a strategy to separate a person’s mobility into two

The robot co-worker must: i) recognise human actions, and specifically their gestures, using a sort of gesture sensor ; ii) represent all the allowed sequences of operations, and

Commanders of high performing teams have in shift 4 a stronger inhibition that a New Message is followed by a Show Information or that a Show Information is fol- lowed by a