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Self-Tracking with Multiple Sensor Systems

Self-tracking is about collecting data from a person’s daily life. The goal is to gain better insight into how a person lives and trying to improve the quality of life. Due to innovations and technological progress, sensors systems are becoming more accessible for mainstream users. In this thesis three systems are described, used and combined to collect data of physiology and activity. A dataset and an example how to use it are presented.