DocumentCode
1760053
Title
Inferring Mobile User Status with Usage Cues
Author
Hammer, Jon C. ; Tingxin Yan
Author_Institution
Univ. of Arkansas, Fayetteville, AR, USA
Volume
48
Issue
6
fYear
2015
fDate
42156
Firstpage
34
Lastpage
40
Abstract
An online inference engine monitors and extracts usage cues from wearables and identifies whether the user is busy, alone, happy, or stressed. Experiments show 85 percent identification accuracy with negligible energy cost.
Keywords
Internet; inference mechanisms; mobile computing; mobile user status inference; online inference engine; usage cue extraction; usage cue monitoring; Computer applications; Context modeling; Inference algorithms; Mobile communication; Online services; Virtual manufacturing; Wearable computing; Wireless sensor networks; context cues; context inference; logical status inference; mobile apps; mobile users; virtual sensors; wearable computing;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2015.169
Filename
7122184
Link To Document