| |||||||||||||||
ISSNIP 2014 : Symposium on Human-Centric Sensing and Social Networks | |||||||||||||||
Link: http://issnip2014.i2r.a-star.edu.sg/symposium.php#hcssn | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
Due to the rapid evolution of the mobile devices equipped with increasing number of sensors, mobile sensing is increasingly becoming part of everyday life and thus is gaining deep attentions in research and industry. Besides, widespread of sensor based mobile applications currently allows monitoring a diverse range of human activities and commonly encountered contexts by taking advantages of the availability of a huge number of available sensors and actuators. Mobile sensing has penetrated into many application areas including advertisement, entertainment, social networking, healthcare, gaming, transportation and even citizen analysis. And based on these domains and applications, several challenges are nowadays raised such as people and context sensing, analysis and mining of mobile sensed data, top-down-top information feedback, etc.
This symposium will offer an opportunity for researchers and industrials to present their novel and innovative methodologies, techniques, tools and real-life experiences concerning mobile sensing areas. The symposium solicits papers on both completed work and work-in-progress. Papers that bring out new and interesting approaches at an early stage of their development are very welcome. The symposium will be held in conjunction with ISSNIP 2014 which draws many leading researchers in the field of networking. Topics of Interest The topics of interest include, but are not limited to: Systems architecture for mobile sensing New mobile sensing hardware Security, privacy and mobile sensing QoS/QoE mobile sensing Mobile crowd-sourcing Participatory/Opportunistic sensing Contextual feedback Image sensing Mining human-centric sensing data Experiences and users studies Mobile sensing applications Mobile social network Cognitive radio based sensor network Mobile cloud computing for sensors |
|