Description
The dataset is composed of digital signals obtained from capacitive sensor electrodes that are immersed in water or in oil. Each signal, stored in one row, is composed of 10 consecutive intensity values and a label in the last column. The label is +1 for a water-immersed sensor electrode and -1 for an oil-immersed sensor electrode. This dataset should be used to train a classifier to infer the type of material in which an electrode is immersed (water or oil), given a sample signal composed of 10 consecutive values.
| Date made available | 24 Oct 2020 |
|---|---|
| Publisher | IEEE DataPort |
Keywords
- binary classification
- electrode array
- electrodes
- time series
- support vector machine (SVM)