Campus Activity Sensing and Sharing based on Mobile Crowd Sensing
Nan Wen-qia · Xinxi wangluo anquan · 2013
In recent years, with the prevalence and rapid development of rich sensor-equipped smartphones, mobile crowd sensing(MCS) has developed as a new sensing paradigm(in comparison with traditional sensor networks). We have explored the usage of MCS technologies in large-scale communities, such as university campuses, to make our work or life more colorful and convenient. Because the traditional forms of information dissemination activities in university campuses(such as posters, display boards) are relative occlusive and not in time(some activities are reported after they are held), we have done research on activity data collection and sharing on campus. A new MCS system called FocusSense is proposed and developed. In this system we regard smartphone users within the campus as mobile sensor nodes. They can capture activity information in the form of images and transmit them to a backend server. The server will classify the activities according to their different types(real-time activities, event notifications) and share them with campus community members. FocusSense can facilitate the information capture and dissemination in campus-scale environments.