jActivity: supporting mobile web developers with HTML5/JavaScript based human activity recognition

Authors:
Michael Hauber;Anja Bachmann;Matthias Budde;Michael Beigl
Affiliations:
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Venue:
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
Year:
2013

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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.