Activity Mining in Sensor Networks

We present results from the exploration of activity discovery based on impoverished sensors. Networks of low-cost, low-power, low-bandwidth sensors are a practical way of gathering context awareness in buildings. they are more widely applicable than dense networks of cameras because of their low component cost, low installation cost, and low privacy cost. However impoverished sensors pose a significant challenge for activity monitoring due their low capability. We build on our behavior understand work with impoverished sensors to show results relating to behavior discovery and novel event detection.