Presentation of a Modular Framework for Interpretation of Sensor Data With Dynamic Bayesian Networks on Mobile Devices
| dc.contributor.author | Brandherm, Boris | de_DE |
| dc.contributor.author | Schmitz, Michael | de_DE |
| dc.date.accessioned | 2017-11-15T15:00:31Z | |
| dc.date.available | 2017-11-15T15:00:31Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | We show in this work an example of how physiological data of a user acquired by bio sensors and interpreted by dynamic Bayesian networks on a personal mobile device are used to adapt notifications to the user state. The described sample application is an instance of our framework that is currently under development in our research group, aiming towards a modular and cross-platform toolkit for sensor integration. We will give a brief overview of the whole system with its components and conclude with an outlook on future work in this project. At the conference we want to present the example application based on this framework and the single components as described in this work. | |
| dc.identifier.uri | http://abis.l3s.uni-hannover.de/images/proceedings/abis2004/abis2004_brandhermschmitz.pdf | de_DE |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/5064 | |
| dc.language.iso | en | de_DE |
| dc.relation.ispartof | 12. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen" | de_DE |
| dc.title | Presentation of a Modular Framework for Interpretation of Sensor Data With Dynamic Bayesian Networks on Mobile Devices | de_DE |
| dc.type | Text/Conference Paper | |
| gi.document.quality | digidoc |