Mobile ECG-based drowsiness detection

This paper examines the challenges of using electrocardiogram (ECG) monitoring in wearable computing systems for addressing drowsiness detection while driving. The approaches for extrapolating a person's waking/sleeping state using time-series data is provided and verified against real ECG data available from the PhysioBank data archives. A system incorporating an off-the-shelf wearable ECG monitor and a prototype of a mobile application for carrying out the data analysis and computation is described.

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