Paper Info
Title
A platform for fusing psychological and physiological data from hybrid cloud
Abstract
Monthly mood chart is a widely used tool for collecting and evaluating depressed person's mood daily. However, depressed mood is related to high-frequency heart rate variability. Therefore, in order to precisely evaluate personal mood status, it is increasingly important to fuse mood information with heart rate. In this paper1, we design an architecture based on hybrid cloud to collect user's daily mood information that is stored in private cloud and to access heart rate from public cloud; and finally to fuse them together. In addition, we also adopt proof-of-concept prototyping approach to design and implement an APP to view the fused result. It is shown that the architecture is feasible to fuse both together from hybrid cloud.
Year
DOI
Venue
2016
10.1109/ICNSC.2016.7479032
2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC)
Keywords
Field
DocType
Information Fusion,Monthly Mood Chart,Physiological,Psychological,Hybrid Cloud
Mood,Architecture,Computer security,Computer science,Heart rate variability,Control engineering,Human–computer interaction,Chart,Fuse (electrical),Information fusion,Cloud computing
Conference
ISSN
Citations 
PageRank 
1810-7869
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Feng-Ming Sue100.34
Yue-Shan Chang229537.68
Ruey-Kai Sheu36212.31