Abstract | ||
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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 |
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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 Liu | 1 | 49 | 4.58 |
Robert X. Gao | 2 | 387 | 39.94 |
Dinesh John | 3 | 37 | 2.01 |
John W Staudenmayer | 4 | 37 | 2.35 |
Patty S Freedson | 5 | 39 | 2.47 |