Abstract
To-date, the detection of responses in galvanic skin data has been a manual, and error-prone, process. We developed and published the first algorithm to accurately replace manual detection. This algorithm is more accurate than manual extraction and makes truly replicable experimentation possible for the first time.
| Original language | English |
|---|---|
| Place of Publication | bitbucket.org |
| Publisher | BitBucket |
| Media of output | Online |
| Publication status | Published - 2 Nov 2019 |
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