Name
Abstract | ||
|---|---|---|
Physical activity recognition has become an increasing research area specially on health-related fields. The amount of different postures, movements and exercises in addition to the difficulty of the individuals particular execution style determine that extremely robust efficient knowledge inference systems are extremely necessary, being classification process one of the most crucial steps. Considering the power of binary classification in contrast to direct multiclass approaches, and the capabilities offered by multi-sense environments, we define a novel classification schema based on hierarchical structures composed by weighted decision makers. Remarkable accuracy results are obtained for a particular activity recognition problem in contrast to a traditional multiclass majority voting algorithm. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21498-1_24 | IWANN (2) |
Keywords | Field | DocType |
physical activity recognition,individuals particular execution style,particular activity recognition problem,crucial step,multiclass approach,novel classification schema,daily living activity,automatic recognition,hierarchical classifier,classification process,binary classification,different posture,traditional multiclass majority voting,activity recognition | Activity recognition,Activities of daily living,Pattern recognition,Binary classification,Computer science,Inference,Artificial intelligence,Hierarchical classifier,Majority rule,Schema (psychology),Machine learning,Multiclass classification | Conference |
Volume | ISSN | Citations |
6692 | 0302-9743 | 1 |
PageRank | References | Authors |
0.39 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oresti Baños | 1 | 380 | 35.57 |
| M. Damas | 2 | 387 | 33.04 |
| Hector Pomares | 3 | 72 | 5.56 |
| I. Rojas | 4 | 1750 | 143.09 |