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The paper presents an algorithm for blinks detection from an EOG (electrooculographic) signal. The algorithm is based on the analysis of time waveforms recorded from Fp1 and Fp2 and is capable to work as well in a fix trial length mode as in a free user mode. The paper covers the description of the algorithm and its verification via an experiment conducted with ten healthy subjects. During the experiment the recognition of nine blinking schemes was tested: single, double and triple blinks with left, right, and both eyes. The recognition rate calculated over nine blinking schemes and ten subjects was equal to 92%. When analyzing the results across different blinking schemes we found that: 1) it was much easier to recognize left-right blinks (96%) than both eyes blinks (83%); 2) the detection accuracy dropped with the increasing number of blinks (98% single, 91% double, 87% triple blinks) but it was sufficiently high even for

An Algorithm for Detection of Multiple Blinks of single and both eyes from EOG signal.