A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Towards Cooperative Self-adapting Activity Recognition
2018
Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems
Activity Recognition (AR) aims at deriving high-level knowledge about human activities and the situation in the human's environment. Although being a well-established research field, several basic issues are still insufficiently solved, including extensibility of an AR system at runtime, adaption of classification models to a very specific behaviour of a user, or utilising of all information available, including other AR systems within range. To overcome these limitations, the cooperation of AR
doi:10.5220/0006856102150222
dblp:conf/peccs/JahnTMDS18
fatcat:jqd5nvb5zjhdhbn5vyjeh4v7tq