This document discusses using pervasive computing to support early diagnosis of bipolar disorder. It proposes monitoring specific behaviors and symptoms related to insomnia, verbal/social activities, and general activity levels that are evaluated in diagnostic questionnaires for depression and mania. A system is proposed that recognizes these behaviors and activities through context-aware sensors to aid in early detection of transitions between normal and abnormal mental states.