  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.
