Name
Title | ||
|---|---|---|
A Toolchain for Context Recognition: Automating the Investigation of a Multitude of Parameter Sets |
Abstract | ||
|---|---|---|
A person's context data can be used for a multitude of applications, such as energy management or health care. Common context recognition approaches rely on several factors, such as the sensor set, features, or the context modeling algorithm. Discovering the recognition performances of different parameter setting combinations is a complex, time-consuming, and error-prone task. To support the context recognition research, we present the Context Recognition Assistance Tool (CRAT). The Context Recognition Assistance Tool assist by automatically conducting the evaluation for a multitude combination of parameter settings and clearly presents the findings. Using the CRAT, we investigate to what degree five parameters influence the recognition accuracy. To support the research in the field of context recognition, the CRAT is publicly available. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/VTCFall.2015.7390823 | 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) |
Keywords | Field | DocType |
context recognition assistance tool,context recognition performance,parameter set multitude automation | Data modeling,Energy management,Multitude,Computer science,Feature extraction,Context model,Software,Artificial intelligence,Toolchain,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Jahn | 1 | 0 | 0.68 |
| Sian Lun Lau | 2 | 81 | 11.48 |
| Klaus David | 3 | 77 | 15.55 |
| Bernhard Sick | 4 | 704 | 70.42 |