Emplaced sensors are put in smart environments such as apartments, assisted living care facilities, nursing homes, hospitals, or houses. Stakeholders include medical staff such as doctors, nurses, pyschologists, physical therapists, in addition, friends and family members, and residence staff such as sensor system technicians, social coordinators, nutritionists and researchers doing drug studies or anonymized behavioral studies. The core research problem is how do we keep people's data confidential, while balancing the needs of each stakeholder?
he MetroNet project will consist of sensors deployed in the storefront windows of downtown Charlottesville. The sensors will count people as they pass by a store or walk into a store, in order to provide empirical data to the shopkeepers about the effects of advertising, window displays, weather, etc. on pedestrian business.
The goal of MetroNet is to provide an exercise in data sharing; if the shopkeepers are willing to share data, it could be used by pedestrians to see the popularity of a particular concert, by other shopkeepers to calibrate their own data, by city planners to estimate the effects of vehicular traffic on the downtown mall, by real estate customers to estimate the value of individual properties, etc. The key to MetroNet will be to provide the framework necessary to (i) provide incentives to shopkeepers for data sharing (ii) make it easy for shopkeepers to share data, and (iii) provide privacy mechanisms for sharing only aspects of the data.
In efforts to simplify aggregation and manipulation of sensor data, I created an interface to mashup stream information in a web interface.