Abstract: A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.

Abstract: The invention relates to a method for monitoring touchscreen events (3) of a handheld device (6), wherein —a monitoring application (1) is provided, —at least one touchscreen event (3) on a display screen (61) of said handheld device (6) is detected by means of said monitoring application (1), wherein the touchscreen event (3) is directed to a foreground application (2), —event data (4) is generated for said at least one touchscreen event (3) by means of said monitoring application (1), wherein said event data (4) comprises a time stamp (41) of said at least one touchscreen event (3) and an identification (42) of said foreground application (2), —said event data (4) is stored by means of said monitoring application (1). The invention further relates to a computer program for executing the steps of the method according to the invention.

Abstract: A method of monitoring a user's neuronal activity (10) includes recording a user's behavioural output with a portable electronic device, such as a mobile cellphone. The user's behavioural output (14) is compared (18) with predefined behavioural outputs associated with known event-related neuronal activations (20). The user's event-related neuronal activation (22) is determined based upon the comparison so as to provide an indication of the user's neuronal activity.

Abstract: The invention relates to a method for monitoring touchscreen events (3) of a handheld device (6), wherein —a monitoring application (1) is provided, —at least one touchscreen event (3) on a display screen (61) of said handheld device (6) is detected by means of said monitoring application (1), wherein the touchscreen event (3) is directed to a foreground application (2), —event data (4) is generated for said at least one touchscreen event (3) by means of said monitoring application (1), wherein said event data (4) comprises a time stamp (41) of said at least one touchscreen event (3) and an identification (42) of said foreground application (2), —said event data (4) is stored by means of said monitoring application (1). The invention further relates to a computer program for executing the steps of the method according to the invention.

Abstract: A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.