Conference paper Open Access

Model-based and class-based fusion of multisensor data

Athina Tsanousa; Angelos Chatzimichail; Georgios Meditskos; Stefanos Vrochidis; Ioannis Kompatsiaris

Abstract. In the recent years, the advancement of technology, the constantly aging population and the developments in medicine have resulted in the creation of numerous ambient assisted living systems. Most of these systems consist of a variety of sensors that provide information about the health condition of patients, their activities and also create alerts in case of harmful events. Successfully combining and utilizing all the multimodal information is an important research topic. The current paper compares model-based and class-based fusion, in order to recognize activities by combining data from multiple sensors or sensors of different body placements.

Files (673.9 kB)
Name Size
Model based and class based fusion of multisensor data_forzenodo.pdf
673.9 kB Download
All versions This version
Views 8787
Downloads 128128
Data volume 86.3 MB86.3 MB
Unique views 6565
Unique downloads 125125


Cite as