Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958331 | Computer Science Review | 2017 | 22 Pages |
Abstract
The spontaneous recognition of emotional states and personality traits of individuals has been puzzling researchers for years whereas pertinent studies demonstrating the progress in the field, despite their diversity, are still encouraging. This work surveys the most well-known research studies and the state-of-the-art on affect recognition domain based on smartphone acquired data, namely smartphone embedded sensors and smartphone usage. Inevitably, supplementary modalities employed in many eminent studies are also reported here for the sake of completeness. Nevertheless, the intention of the survey is threefold; firstly to document all the to-date relevant literature on affect recognition through smartphone modalities, secondly to argue for the full potential of smartphone use in the inference of affect, and thirdly to demonstrate the current research trends towards mobile affective computing.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Eugenia Politou, Efthimios Alepis, Constantinos Patsakis,