Guest Editorial Sensor Informatics and Quantified Self

The articles in this special issue focus on new technologies and applications for medical services that incorporate wearable sensors, signal processing, machine learning, and data mining techniques. The ability to collect large sets of human data comfortably 24/7, are advancing new ways to learn about human well being. Measurements that used to be confined to short-term sampling in a lab or medical facility are now able to be conducted continuously, while at home, work, sleep, or play. Studies are no longer limited to a focus on disease progression or to the effect of therapeutic measures provided in clinical settings???instead, it is becoming possible to quantify healthy activities and behavior, and capture how these slowly change as illness develops or progresses. The quantified self movement, where people can monitor their own health and fitness-related data, is closely linked to the emergence of new methods in biometric sensing.