.png){kind=icon}
Return
Mobile platform for affective context-aware systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2018.02.033.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In our work, we focus on detection of affective states, their proper identification and interpretation with use of wearable and mobile devices. We propose a data acquisition layer based on wearable devices able to gather physiological data, and we integrate it with mobile context-aware framework. Furthermore, we formulate a method for personalization of emotion detection. This solution offers a non-intrusive measurement thanks to the use of wearable devices, such as wristbands. As means of validation of our concepts we describe a series of experiments that we conducted. (C) 2018 Elsevier B.V. All rights reserved.
Keywords:
Affective computing
Context-aware systems
Wearable devices
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
F
IF:
6.1
Papers:
6.9K
Citations:
2.3W
Organization
Cited Papers
ShareSavePrenatal Docosahexaenoic Acid Supplementation and Offspring Development at 18 Months: Randomized Controlled Trial.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAIShareSaveResource-Optimized Quality-Assured Ambiguous Context Mediation Framework in Pervasive Environments
PREAI
ShareSave
View more