Title
Multisensor data fusion for physical activity assessment.
Abstract
This paper presents a sensor fusion method for assessing physical activity (PA) of human subjects, based on support vector machines (SVMs). Specifically, acceleration and ventilation measured by a wearable multisensor device on 50 test subjects performing 13 types of activities of varying intensities are analyzed, from which activity type and energy expenditure are derived. The results show that t...
Year
DOI
Venue
2012
10.1109/TBME.2011.2178070
IEEE Transactions on Biomedical Engineering
Keywords
DocType
Volume
Accelerometers,Support vector machines,Hip,Wrist,Feature extraction,Ventilation,Data models
Journal
59
Issue
ISSN
Citations 
3
0018-9294
31
PageRank 
References 
Authors
1.48
13
5
Name
Order
Citations
PageRank
Shaopeng Liu1494.58
Robert X. Gao238739.94
Dinesh John3372.01
John W Staudenmayer4372.35
Patty S Freedson5392.47