Aggregating continuous streams of sensor data – Peter Lugtig
Sensors included on smartphones or other wearables potentially allow for the precise study of human behavior. Accelerometers typically measure movement behavior in three dimensions (x,y,z) for people at a rate of 60 times per second. Geolocation sensors measure someone physical location in latitude and longitude at a rate that in practice varies between once per second, and once every several minutes. This presentation will focus on explaining the challenges of working with intensive longitudinal data from smartphones and wearables, and present ideas on how to aggregate data from those sensors.