Survey on Emotion Sensing Using Mobile Devices

Abstract

The rapid development and ubiquity of mobile and wearable devices promises to enable researchers to monitor users' granular emotional data in a less intrusive manner. Researchers have used a wide variety of mobile and wearable devices for this purpose, and have proposed various approaches to sense users' emotional states. In this survey, we utilise three established digital libraries (ACM Digital Library, IEEE Xplore Digital Library, and Springer Nature). We analysed and critically assessed the different approaches used in the three stages (perception, learning, inference) of a typical mobile emotion sensing framework, following a structured paper selection process. The contribution of this ..