Authors:
Muhammad Shoaib
1
;
Stephan Bosch
1
;
Ozlem Durmaz Incel
2
;
Hans Scholten
1
and
Paul J. M. Havinga
1
Affiliations:
1
University of Twente, Netherlands
;
2
Galatasary University, Turkey
Keyword(s):
Online Activity Recognition, Real-time, Mobile Phones, Context-awareness, Accelerometer, Smartphones.
Related
Ontology
Subjects/Areas/Topics:
Context
;
Context-Aware Applications
;
Mobile and Pervasive Computing
;
Mobile Computing
;
Paradigm Trends
;
Pervasive Health
;
Software Engineering
;
Telecommunications
;
Ubiquitous Computing Systems and Services
Abstract:
Many context-aware applications based on activity recognition are currently using mobile phones. Most of this
work is done in an offline way. However, there is a shift towards an online approach in recent studies, where
activity recognition systems are implemented on mobile phones. Unfortunately, most of these studies lack
proper reproducibility, resource consumption analysis, validation, position-independence, and personalization.
Moreover, they are hard to compare in various aspects due to different experimental setups. In this paper,
we present a short overview of the current research on online activity recognition using mobile phones, and
highlight their limitations. We discuss these studies in terms of various aspects, such as their experimental
setups, position-independence, resource consumption analysis, performance evaluation, and validation. Based
on this analysis, we define a roadmap towards a better comparative research on online activity recognition
using mobile phones.