Self-tracking our physical activity allows us to acquire a better self-knowledge about our
physical, and even mental health condition. Currently, the description of the time series
provided by sensors is done by means of graphics and tables, that are hard to interpret by
non-expert humans. Here, we present a computational application that dynamically
describes in natural language the physical activity. The final reports are adapted to the
everyday language and user's needs. The application highlights the relevant information …