Name
Abstract | ||
|---|---|---|
In this paper, we propose an algorithm for the estimation of exercise rate during a variety of exercises by using measurements from triaxial accelerometry. The algorithm involves the detection of the periodicity of the body's accelerations, and the detected periods are then fused to form an estimate of exercise rate. Experimental results demonstrate that the algorithm is effective in different modes of exercise. The proposed algorithm will be useful in monitoring training exercises for healthy individuals and rehabilitation exercises for cardiac patients. |
Year | Venue | Keywords |
|---|---|---|
2009 | BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | Wearable sensors,Accelerometer,Exercise intensity,Fundamental frequency estimation,Data fusion,Kalman filtering |
Field | DocType | Citations |
Rehabilitation,Computer vision,Accelerometer,Computer science,Simulation,Artificial intelligence | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Teddy M. Cheng | 1 | 168 | 14.31 |
| Andrey V. Savkin | 2 | 1431 | 178.60 |
| Branko G. Celler | 3 | 502 | 81.99 |
| Steven W. Su | 4 | 210 | 45.84 |
| Ning Wang | 5 | 13 | 2.76 |