Title
Poster: SensingKit: a multi-platform mobile sensing framework for large-scale experiments
Abstract
With the rapid rise in variety of available smartphones today and their rich sensing capabilities, there is an increasing interest in using mobile sensing in large-scale experiments and commercial applications. Motivated by the lack of a universal, multi-platform library, in this paper we present SensingKit, an efficient, open-source, client-server system that supports both iOS and Android mobile devices. SensingKit is capable of continuous sensing the device's motion (Accelerometer, Gyroscope, Magnetometer), location (GPS) and proximity to other smartphones (Bluetooth Smart). The data are temporarily saved to the device's memory and transmitted to a server for further analysis over any Internet connection. We believe that this platform will be beneficial to all researchers and developers who need to perform mobile sensing in their applications and experiments.
Year
DOI
Venue
2014
10.1145/2639108.2642910
MobiCom
Keywords
Field
DocType
ios,spatio-temporal data,motion data,mobile sensing,reusable libraries,measurement techniques,android
Mobile technology,Mobile search,Android (operating system),Computer science,Real-time computing,Mobile device,Global Positioning System,Mobile Web,Internet access,Bluetooth,Embedded system
Conference
Citations 
PageRank 
References 
9
0.65
4
Authors
3
Name
Order
Citations
PageRank
Kleomenis Katevas1395.89
Hamed Haddadi222322.94
Laurissa Tokarchuk3285.34