Using humans as sensors: an estimation-theoretic perspective
The explosive growth in social network content suggests that the largest “sensor network”
yet might be human. Extending the participatory sensing model, this paper explores the …
yet might be human. Extending the participatory sensing model, this paper explores the …
LocateMe: Magnetic-fields-based indoor localization using smartphones
KP Subbu, B Gozick, R Dantu - ACM Transactions on Intelligent Systems …, 2013 - dl.acm.org
Fine-grained localization is extremely important to accurately locate a user indoors.
Although innovative solutions have already been proposed, there is no solution that is …
Although innovative solutions have already been proposed, there is no solution that is …
On designing data quality-aware truth estimation and surplus sharing method for mobile crowdsensing
Mobile crowdsensing has become a novel and promising paradigm in collecting, analyzing,
and exploiting massive amounts of data. However, the issue of data quality has not been …
and exploiting massive amounts of data. However, the issue of data quality has not been …
A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
Participatory noise pollution monitoring using mobile phones
N Maisonneuve, M Stevens, B Ochab - Information polity, 2010 - content.iospress.com
Noise pollution is a major problem in cities around the world. The current methods to assess
it neglect to represent the real exposure experienced by the citizens themselves, and …
it neglect to represent the real exposure experienced by the citizens themselves, and …
Task allocation in mobile crowd sensing: State-of-the-art and future opportunities
Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …
smartphones with various embedded sensors and user's mobility to sense diverse …
Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset
J Van den Bossche, J Peters, J Verwaeren… - Atmospheric …, 2015 - Elsevier
Mobile monitoring is increasingly used as an additional tool to acquire air quality data at a
high spatial resolution. However, given the high temporal variability of urban air quality, a …
high spatial resolution. However, given the high temporal variability of urban air quality, a …
Achieving differential privacy of trajectory data publishing in participatory sensing
Trajectory data in participatory sensing is of great importance to the deployment and
advancement of several applications, like traffic monitoring, marketing analysis, and urban …
advancement of several applications, like traffic monitoring, marketing analysis, and urban …
How to study the city on Instagram
JD Boy, J Uitermark - PloS one, 2016 - journals.plos.org
We introduce Instagram as a data source for use by scholars in urban studies and
neighboring disciplines and propose ways to operationalize key concepts in the study of …
neighboring disciplines and propose ways to operationalize key concepts in the study of …
Urban sensing: out of the woods
D Cuff, M Hansen, J Kang - Communications of the ACM, 2008 - dl.acm.org
Embedded networked sensing, having successfully shifted from the lab to the environment,
is primed for a more contentious move to the city to where citizens will likely be the target of …
is primed for a more contentious move to the city to where citizens will likely be the target of …