Title
Tool support for the online annotation of sensor data
Abstract
The labelling of sensor data with information about the real world, e. g. the activity a human performs, is called annotation. In this paper we perform an analysis of existing live annotation systems and derive the requirements for a general annotation approach. Based on the requirements, we propose a tool support that uses a database schema for the labelling of sensor data. Instead of video logs that are commonly used to add this information after recording, our approach aims at online annotation of the sensor data, i. e. at the moment the observation is made in the real world. Our database schema enables the automatic generation of a user interface that can be used from (human) observers. In difference to many existing annotation tools, our schema includes a possibility to define callback functions that may be used to check the semantic correctness of the annotation. We show that our approach is working with a generated online annotation system in a home environment.
Year
DOI
Venue
2016
10.1145/2948963.2948972
iWOAR
Keywords
Field
DocType
human behaviour, annotation, tool support, database schema, sensor data, data labelling
Minimum information required in the annotation of models,Annotation,Information retrieval,Temporal annotation,Computer science,Correctness,Image retrieval,Database schema,Callback,User interface
Conference
ISBN
Citations 
PageRank 
978-1-4503-4245-2
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Max Schröder145.86
Kristina Yordanova27015.22
Sebastian Bader35114.66
Thomas Kirste49318.37