Name
Title | ||
|---|---|---|
Model-based real time analysis of distributed human activity recognition stages in wireless sensor networks |
Abstract | ||
|---|---|---|
In the paper at hand, a model-based design and energy estimation approach for wireless sensor nodes in human activity recognition systems is extended. Entire wireless body area sensor networks are modeled and analyzed w.r.t. their real time capabilities of different software mappings on a system level.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3341162.3343845 | Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers |
Keywords | Field | DocType |
activity recognition, real-time analysis, wireless sensors | Activity recognition,Computer science,Real time analysis,Real-time computing,Wireless sensor network,Embedded system | Conference |
ISBN | Citations | PageRank |
978-4503-6869-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Grützmacher | 1 | 2 | 1.74 |
| Benjamin Beichler | 2 | 0 | 0.34 |
| C. Haubelt | 3 | 25 | 3.92 |