Title :
Inferring Mobile User Status with Usage Cues
Author :
Hammer, Jon C. ; Tingxin Yan
Author_Institution :
Univ. of Arkansas, Fayetteville, AR, USA
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;
DOI :
10.1109/MC.2015.169
