Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data

BPL Lau, MS Hasala, VS Kadaba… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The advancement of smartphones with various type of sensors enabled us to harness
diverse information with crowd sensing mobile application. However, traditional approaches …

Refining smartphone usage analysis by combining crowdsensing and survey

V Rivron, MI Khan, S Charneau… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Crowdsensing has been used quite regularly in recent years to study smartphone usage.
However context information associated with smartphone usage is mostly of the type geo …

An improved smartphone-based non-participatory crowd monitoring system in smart environments

T Kulshrestha, D Saxena, R Niyogi… - … (CSE) and IEEE …, 2017 - ieeexplore.ieee.org
Mobile Crowd Sensing and Computing (MCSC) is a replacement of static sensing
infrastructure by user's mobile sensor-enhanced devices. MCSC collects user's local …

Sensing interpolation strategies for a mobile crowdsensing platform

M Girolami, S Chessa, G Adami… - 2017 5th IEEE …, 2017 - ieeexplore.ieee.org
Mobile Crowd Sensing (MCS) allows an efficient collection of heterogeneous data over
large areas, leveraging on the cooperation of MCS subscribers that offer services on their …

Leveraging crowd to improve data credibility for mobile crowdsensing

T Zhou, Z Cai, M Xu, Y Chen - 2016 IEEE Symposium on …, 2016 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a new paradigm which takes advantage of pervasive mobile
devices to collaboratively collect data and analyze physical phenomenon. As mobile …

iSense: Energy-aware crowd-sensing framework

M Abdelaal, M Qaid, F Dürr… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
Recently, crowd-sensing has rapidly been evolved thanks to the technological advancement
in personal mobile devices. This emerging technology opens the door for numerous …

Assessing performance of internet of things-based mobile crowdsensing systems for sensing as a service applications in smart cities

A Capponi, C Fiandrino, C Franck… - … on Cloud Computing …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) paradigm makes the Internet more pervasive. IoT devices are
objects equipped with computing, storage and sensing capabilities and they are …

Using spatial interpolation in the design of a coverage metric for Mobile CrowdSensing systems

M Girolami, S Chessa, M Dragone… - … IEEE Symposium on …, 2016 - ieeexplore.ieee.org
Mobile Crowd Sensing (MCS) is an emerging paradigm that exploits the ubiquity of
smartphones and cheap sensor devices to collect data and thus contribute to the provision …

Crowdsourcing based mobile location recognition with richer fingerprints from smartphone sensors

H Wang, D Zhao, H Ma, H Xu… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
With the rapid advancements of mobile computing, mobile location recognition is becoming
an important and useful service, which recognizes the logical locations of places/scenes that …

PublicSense: a crowd sensing platform for public facility management in smart cities

Z Wang, B Guo, Z Yu, W Wu, J Zhang… - 2016 Intl IEEE …, 2016 - ieeexplore.ieee.org
The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale
sensing data. There are many MCS platforms developed in various aspects. But there are …