Meme tags and community mirrors: moving from conferences to collaboration
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Personal and Ubiquitous Computing
Sensing and modeling human networks
Sensing and modeling human networks
Photochat: communication support system based on sharing photos and notes
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Towards the automated social analysis of situated speech data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Lifetag: WiFi-based continuous location logging for life pattern analysis
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
VUPoints: collaborative sensing and video recording through mobile phones
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
VUPoints: collaborative sensing and video recording through mobile phones
ACM SIGCOMM Computer Communication Review
MoVi: mobile phone based video highlights via collaborative sensing
Proceedings of the 8th international conference on Mobile systems, applications, and services
Highlights: event coverage in mobile social networks
ACM SIGMOBILE Mobile Computing and Communications Review
TagSense: a smartphone-based approach to automatic image tagging
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Low cost crowd counting using audio tones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
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This paper proposes a system called Neary that detects conversational fields and is designed to run on mobile machines with a network module and a microphone. Neary operates on a simple algorithm and a light-weight process, so other systems can incorporate it smoothly. In this paper, we show an implementation of our Neary system and its experimental evaluations. Neary can distinguish between two conversation groups one meter apart and dynamically detect the changes in the number and the physical size of conversation fields.