Smart Companion, the android customization for smartphones targeting older adults, enables the collection of data related to physical activity. In order to provide an easy and effective way to analyze the data collected, a web application was developed.
Then, tests with possible end-users was carried out so to verify that the user easily catches relevant information from the application. Participants answered to a questionnaire about the habits of the predefined Smart Companion users.
This work was carried out in the scope of the master thesis entitled “DActivPR – Daily Activity Pattern Recognition Tool“.