Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life

TL;DR

This paper introduces a wearable affective life-log system (ALIS) that monitors physiological signals over time to understand emotion dynamics and their causes in daily life, aiding personalized stress management.

Contribution

The study presents a novel wearable system capable of long-term emotion monitoring and analyzing context-driven affective changes in real-world settings.

Findings

Enabled causal analysis of emotion and context in daily life

Identified effective stress relievers for different stressful situations

Demonstrated system robustness and usability in real-world environments

Abstract

Past research on recognizing human affect has made use of a variety of physiological sensors in many ways. Nonetheless, how affective dynamics are influenced in the context of human daily life has not yet been explored. In this work, we present a wearable affective life-log system (ALIS), that is robust as well as easy to use in daily life to detect emotional changes and determine their cause-and-effect relationship on users' lives. The proposed system records how a user feels in certain situations during long-term activities with physiological sensors. Based on the long-term monitoring, the system analyzes how the contexts of the user's life affect his/her emotion changes. Furthermore, real-world experimental results demonstrate that the proposed wearable life-log system enables us to build causal structures to find effective stress relievers suited to every stressful situation in school life.