Alexandra Voit
Miriam Greis
Dominik Weber
Albrecht Schmidt
ABSTRACT
Regular physical activity reduces the risks of illness, obesity, and falling. Thus, many personal devices support users in monitoring their physical activity to initiate behavior changes. However, activity data is prone to measurement errors; for example a user is seated but typing increases the step count. Such false positives could be easily detected if data from multiple sensors would be connected. We envision a system that combines data from multiple sensors in our surroundings to reduce such measurement errors. Furthermore, the system shows the user's historical data for the past seven days, the activity level of the current day, and a forecast about physical activity for the next seven days in an artistic and configurable digital wall painting. We argue that this strengthens connectedness and privacy. We are convinced that our system can help to increase user's trust in activity data and raise awareness for behavior change regarding physical activity.
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