The 2017 and 2018 Iranian Brain-Computer Interface Competitions

Nasser Samadzadehaghdam, Mohammad Hassan Moradi, Mohammad Bagher Shamsollahi, Ali Motie Nasrabadi, Seyed Kamaledin Setarehdan, Vahid Shalchyan, Farhad Faradji, Bahador Makkiabadi

DOI: 10.4103/jmss.JMSS_65_19


This article summarizes the first and second Iranian brain-computer interface competitions held in 2017 and 2018 by the National Brain Mapping Lab. Two 64-channel electroencephalography (EEG) datasets were contributed, including motor imagery as well as motor execution by three limbs. The competitors were asked to classify the type of motor imagination or execution based on EEG signals in the first competition and the type of executed motion as well as the movement onset in the second competition. Here, we provide an overview of the datasets, the tasks, the evaluation criteria, and the methods proposed by the top-ranked teams. We also report the results achieved with the submitted algorithms and discuss the organizational strategies for future campaigns.


Brain-computer interface, electroencephalography, motor execution, motor imagery, movement onset

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