In this paper we demonstrate how smart phone sensors,
specifically inertial sensors and GPS traces, can be used as
an objective “measurement device” for aiding psychiatric diagnosis.
In a trial with 12 bipolar disorder patients conducted
over a total (summed over all patients) of over 1000 days (on
average 12 weeks per patient) we have achieved state change
detection with a precision/recall of 96%/94% and state recognition
accuracy of 80%. The paper describes the data collection,
which was conducted as a medical trial in a real life every
day environment in a rural area, outlines the recognition
methods, and discusses the results.
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