Paper Info
Title
Creating digital life stories through activity recognition with image filtering
Abstract
This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client that recognizes activities and enables review of the captured data. The image filtering algorithm is based on image characteristics such as brightness, blurriness and similarity, and is a central component of the Logging Kit. The activity recognition algorithm is based on the captured contextual data together with concepts of persons and places. The initial results indicate that the MemoryLane system is technically feasible and that activity-based creation of digital life stories for persons with mild dementia is possible.
Year
DOI
Venue
2010
10.1007/978-3-642-13778-5_25
ICOST
Keywords
Field
DocType
image data,contextual data,activity-based creation,mild dementia,digital life story,activity recognition algorithm,review client,logging kit,image characteristic,memorylane system,information technology,activity recognition,life logging
Computer vision,Activity recognition,Information technology,Computer security,Computer science,Mild dementia,Contextual design,Filter (signal processing),Human–computer interaction,Digital Life,Artificial intelligence
Conference
Volume
ISSN
ISBN
6159
0302-9743
3-642-13777-6
Citations 
PageRank 
References 
2
0.39
7
Authors
5
Name
Order
Citations
PageRank
Basel Kikhia1545.48
Johan E. Bengtsson2395.44
Kåre Synnes319225.16
Zaheer ul Hussain Sani430.79
Josef Hallberg59912.67