Automatic Extraction of Galvanic Skin Responses

We develop an algorithm for identifying and extracing galvanic skin responses from large and noisy data-sets. The algorithm is shown to be more accurate than by-hand analysis and is used to extract data for large-scale experiments.

As one collects more GSR data, it becomes impossible to analyse it without computational support. We have created and validated that computational support.

by-hand analysis was very error prone (previously unknown). An algorithm wan be accurate (previously unknown).