A system for classifying the usage of a handheld consumer device with respect to a target space comprising a target surface, in particular where the handheld consumer device is a toothbrush, the system comprising: a movable handheld consumer device arranged for treating the target surface, the consumer device comprising a sensor unit for determining at least one usage data at successive time instants, the sensor unit being arranged for providing a temporally successive sequence of usage data during a usage session; and an analyzing device being arranged for classifying the usage of the consumer device with respect to at least one set of at least two usage classes relating to different usage properties, the analysis device being arranged for assembling a temporally successive sequence of between 2 and 1000 input tuples of usage data relating to a predetermined time period of the usage session, each of the input tuples comprising at least one element representing the usage data at the respective time instant, and for inputting the sequence of input tuples directly into at least one artificial neural network that is arranged to output at least one output tuple that comprises a number of elements in accordance with the number of usage classes, each element of the output tuple representing a prediction value that the usage of the consumer device at the given time instant relates to a respective usage class, in particular where the analysis device is being arranged for determining a single usage class answer for the time period based on the sequence of output tuples wherein the usage classes relate to usages that are typical for using the handheld consumer device in different portions of the target space, wherein a plurality of the portions each represent a portion of the target surface. a movable handheld consumer device arranged for treating the target surface, the consumer device comprising a sensor unit for determining at least one usage data at successive time instants, the sensor unit being arranged for providing a temporally successive sequence of usage data during a usage session; and an analyzing device being arranged for classifying the usage of the consumer device with respect to at least one set of at least two usage classes relating to different usage properties, the analysis device being arranged for assembling a temporally successive sequence of between 2 and 1000 input tuples of usage data relating to a predetermined time period of the usage session, each of the input tuples comprising at least one element representing the usage data at the respective time instant, and for inputting the sequence of input tuples directly into at least one artificial neural network that is arranged to output at least one output tuple that comprises a number of elements in accordance with the number of usage classes, each element of the output tuple representing a prediction value that the usage of the consumer device at the given time instant relates to a respective usage class, in particular where the analysis device is being arranged for determining a single usage class answer for the time period based on the sequence of output tuples wherein the usage classes relate to usages that are typical for using the handheld consumer device in different portions of the target space, wherein a plurality of the portions each represent a portion of the target surface. <EOS>