Name
Title | ||
|---|---|---|
Classification Of Human Physical Activity And Energy Expenditure Estimation By Accelerometry And Barometry |
Abstract | ||
|---|---|---|
Regular exercise and physical activity are among the most important factors influencing the quality of life and make a significant contribution to the maintenance of health and well-being. The assessment of physical activity via accelerometry has become a promising technique often used as means to objectively measure physical activity. This work proposes a simple and reliable method to assess human physical activity and calculate the energy expenditure (EE) by using an acceleration and an air pressure sensor. Our proposed algorithm differentiates between 7 activities with an average accuracy of 98.2% and estimates the second by second EE with an average percent error of 1.59 +/- 8.20% using a single measurement unit attached to the subject's hip. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6347471 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
acceleration,estimation theory,pressure sensors,accelerometers | Units of measurement,Accelerometer,Computer science,Biomedical equipment,Energy expenditure,Electronic engineering,Acceleration,Signal classification,Estimation theory,Approximation error | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 3 |
PageRank | References | Authors |
0.51 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panagiota Anastasopoulou | 1 | 3 | 0.51 |
| Michael Tansella | 2 | 3 | 0.51 |
| Jürgen Stumpp | 3 | 3 | 0.51 |
| Layal Shammas | 4 | 7 | 0.96 |
| Stefan Hey | 5 | 3 | 0.84 |