Title
Energy-Efficient and Context-Aware Smartphone Sensor Employment
Abstract
New generation mobile devices have become inevitable to be employed within the realm of ubiquitous sensing. Especially, smartphones have been increasingly used for Human Activity Recognition (HAR) based studies. It is believed that recognizing human-centric activity patterns accurately enough could give a better understanding of human behaviors. Further, such ability could give a chance for assisting individuals in order to enhance the quality of lives. However, the integration and realization of HAR based mobile services stand as a significant challenge on resourceconstrained mobile embedded platforms. In this manner, this paper proposes a novel Discrete Time Inhomogeneous Hidden Semi-Markov Model (DT-IHS-MM) based generic framework to address a better realization of HAR based mobile contextawareness. In addition, we utilize power efficient sensor management strategies by providing three intuitive methods, and Constrained Markov Decision Process (CMDP) and Partially Observable Markov Decision Process (POMDP) based optimal methods. Moreover, a feedback control mechanism is integrated to balance the tradeoff between accuracy in context inference and power consumption. In conclusion, the proposed sensor management methods achieve a 40% overall enhancement in the power consumption caused by the physical sensor with respect to overall 85-90% accuracy ratio thanks to the provided adaptive context inference framework.
Year
DOI
Venue
2015
10.1109/TVT.2014.2364619
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
context-aware framework,human activity recognition,optimal sensing,power efficiency,sensors,energy conservation,accuracy,feedback control,hidden markov models,markov processes,entropy
Markov process,Activity recognition,Partially observable Markov decision process,Computer science,Inference,Markov decision process,Computer network,Real-time computing,Mobile device,Human–computer interaction,Human behavior,Hidden Markov model
Journal
Volume
Issue
ISSN
PP
99
0018-9545
Citations 
PageRank 
References 
2
0.38
18
Authors
6
Name
Order
Citations
PageRank
Ozgur Yurur1904.49
Chi Harold Liu2109172.90
charith perera3653.03
Min Chen4112162.51
Xue Liu53058193.41
Wilfrido A. Moreno617117.43