Every Sign of Life challenges assumptions about how we might think and feel about personal health monitoring. It is an exploration of how to make information collected by personal health-monitoring devices fun and engaging, and consequently more useful to the non-specialist. The approach is to design and build computer games based on such information. The goal is self-efficacy; to implicitly make people take care of their own health by altering their habits and by health-aware planning of their lives. This work tests the hypothesis that fun (the fun of learning, achieving, competing) is a way to achieve this goal. One research focus explores the basic architecture for personal health monitoring systems, which has led to a new approach to design of sensor peripherals and wearable computer components called "Extremity Computing." This approach is used to redefine biosensor monitoring from periodic to continuous (ultimately saving data over a lifetime). Another research focus explores adding implicit biofeedback to computer games, which has led to a new genre of games that straddles the boundary between sports and computer games called "bio-analytical" games.