Paper Info
Title
jActivity: supporting mobile web developers with HTML5/JavaScript based human activity recognition
Abstract
Human Activity Recognition (HAR) using accelerometers has been studied intensively in the past decade. Recent HTML5 methods allow sampling a mobile phone's sensors from within web pages. Our objective is to leverage this for the creation of individual activity recognition modules that can be included into web applications to allow them to gain context-awareness. In this work, jActivity, a first prototype of such a platform-independent HTML5/JavaScript framework is presented, along with experiments to determine the general feasibility and challenges for HAR in web applications. Our results indicate that the realization looks promising, albeit so far limited to certain devices/user agents.
Year
DOI
Venue
2013
10.1145/2541831.2541873
MUM
Keywords
Field
DocType
general feasibility,javascript framework,human activity recognition,web page,mobile web developer,mobile phone,certain device,web application,html5 method,individual activity recognition module,platform-independent html5,html5,progressive enhancement,javascript,activity recognition
Web design,World Wide Web,Progressive enhancement,Web page,Computer science,Unobtrusive JavaScript,Human–computer interaction,Responsive web design,Mobile Web,Web application,Multimedia,JavaScript
Conference
Citations 
PageRank 
References 
1
0.36
7
Authors
4
Name
Order
Citations
PageRank
Michael Hauber110.36
Anja Bachmann2193.58
Matthias Budde317523.08
M. Beigl42034311.09