Radio Propagation for Modern Wireless Systems
Radio Propagation for Modern Wireless Systems
Social sensing for epidemiological behavior change
Proceedings of the 12th ACM international conference on Ubiquitous computing
Virtual compass: relative positioning to sense mobile social interactions
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A reliable and accurate indoor localization method using phone inertial sensors
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Helping mobile apps bootstrap with fewer users
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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Interesting applications of crowdsensing include measurement of crowdedness at public places and evaluating the extent of social interactions between people, at large gatherings. These require enabling the accurate estimation of proximity between two or more people. Since mobile phones have emerged as the most ubiquitous sensing and computing platform, carried by almost all people close to their body, it is logical to use the same for proximity detection. Further, in order to motivate people to use such application, it is necessary to estimate distances accurately, using only short blocks of sampled signal strengths. In this paper the authors present a mobile based proximity detection system, codenamed BlueEye which is based on Bluetooth. To achieve better distance estimates, BlueEye proposes a new form of path loss model which takes into account the relative orientation of mobile phones. The results show enhanced distance estimates when the separation between devices is less than 8 feet.