Paper Info
Title
On the applicability of clinical observation tools for human activity annotation
Abstract
The annotation of human activity is a crucial prerequisite for applying methods of supervised machine learning. It is typically either obtained by live annotation by the participant or by video log analysis afterwards. Both methods, however, suffer from disadvantages when applied in dementia related nursing homes. On the one hand, people suffering from dementia are not able to produce such annotation and on the other hand, video observation requires high technical effort. The research domain of quality of care addresses these issues by providing observation tools that allow the simultaneous live observation of up to eight participants - dementia care mapping (DCM). We developed an annotation scheme based on the popular clinical observation tool DCM to obtain annotation about challenging behaviours. In this paper, we report our experiences with this approach and discuss the applicability of clinical observation tools in the domain of automatic human activity assessment.
Year
DOI
Venue
2017
10.1109/PERCOMW.2017.7917545
2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Keywords
Field
DocType
human activity annotation,care quality,dementia care mapping,DCM,clinical observation tools,automatic human activity assessment
Data science,Data collection,Data mining,Annotation,Computer science,Quality of care,Dementia,Distributed computing
Conference
ISSN
ISBN
Citations 
2474-2503
978-1-5090-4339-2
2
PageRank 
References 
Authors
0.37
5
6
Name
Order
Citations
PageRank
Frank Krüger141.81
Christina Heine220.37
Sebastian Bader35114.66
Albert Hein4316.51
Stefan J Teipel514110.13
Thomas Kirste681.87