This MSc thesis aims to help evaluate elderly users’ smartphone usage patterns. Information extracted from the smartphone touchscreen, the accelerometer and gyroscope is combined in order to detect and characterize touch events and improve the user interaction experience with the smartphone. This information will be very useful in future usability tests, because the algorithms developed detect:
-where the smartphone is (on a surface, being held still or moving);
-all touch events;
– impact force of the touch event;
-which finger is being used to touch the smartphone screen (index finger or thumb);
-which hand is holding the device (right or left).
