Sensing and Modeling Human Networks using the Sociometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Identifying Meaningful Places: The Non-parametric Way
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
High accuracy context recovery using clustering mechanisms
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
DECODE: Exploiting Shadow Fading to DEtect COMoving Wireless DEvices
IEEE Transactions on Mobile Computing
A taxonomy for radio location fingerprinting
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
A grid-based algorithm for on-device GSM positioning
Proceedings of the 12th ACM international conference on Ubiquitous computing
EmotionSense: a mobile phones based adaptive platform for experimental social psychology research
Proceedings of the 12th ACM international conference on Ubiquitous computing
SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Indoor location fingerprinting with heterogeneous clients
Pervasive and Mobile Computing
Sensing and classifying impairments of GPS reception on mobile devices
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Getting closer: an empirical investigation of the proximity of user to their smart phones
Proceedings of the 13th international conference on Ubiquitous computing
Ma$$iv -- An Intelligent Mobile Grocery Assistant
IE '12 Proceedings of the 2012 Eighth International Conference on Intelligent Environments
AWESOM: automatic discrete partitioning of indoor spaces for wifi fingerprinting
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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Smartphones are an attractive option for social sensing due to their widespread market penetration rate and advanced sensing capabilities. Enabling social sensing on smartphones would require techniques that can accurately detect and characterize physical proximity, an important prerequisite for the capture of more complex social phenomena. One of the most promising modalities for this purpose is WiFi, as it works both indoors and outdoors, and as WiFi signal environment tends to contain significant spatial variation. A challenge in using WiFi, however, is that the signals are affected by many noise sources, such as fast fading, body attenuation, hardware differences and varying access points densities. In this paper we review existing work on using WiFi for social sensing and outline challenges that have to be addressed to utilize WiFi at large for social sensing.