Name
Abstract | ||
|---|---|---|
Physical activity monitoring has recently become an important field in wearable computing research. However, there is a lack of a commonly used, standard dataset and established benchmarking problems. In this work, a new dataset for physical activity monitoring --- recorded from 9 subjects, wearing 3 inertial measurement units and a heart rate monitor, and performing 18 different activities --- is created and made publicly available. Moreover, 4 classification problems are benchmarked on the dataset, using a standard data processing chain and 5 different classifiers. The benchmark shows the difficulty of the classification tasks and exposes some challenges, defined by e.g. a high number of activities and personalization. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2413097.2413148 | PETRA |
Keywords | Field | DocType |
high number,different classifier,classification task,standard data,different activity,new dataset,standard dataset,heart rate monitor,classification problem,physical activity monitoring,dataset,data processing,activity recognition,benchmark,classification | Data mining,Data processing,Units of measurement,Activity recognition,Simulation,Wearable computer,Computer science,Benchmarking,Heart rate monitor,Personalization | Conference |
Citations | PageRank | References |
60 | 1.96 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Attila Reiss | 1 | 410 | 24.01 |
| Didier Stricker | 2 | 1266 | 138.03 |