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Since this work is focused towards classifying emotions while subjects are experiencing different stimuli, therefore we need to perform new experiments. Keeping aforementioned issues in consideration, this work presents a novel experimental study that records EEG data for three different human emotional states evoked with four different stimuli presentation paradigms. A methodology based on iterative Genetic Algorithm in combination with majority voting has been used to achieve configuration with reduced number of EEG electrodes keeping in consideration minimum loss of classification accuracy. The results obtained are comparable with recent studies. Stimulus independent configurations with lesser number of electrodes lead towards low computational complexity as well as reduced set up time for future EEG based smart systems for emotions recognition<\/jats:p>","DOI":"10.3233\/jifs-201779","type":"journal-article","created":{"date-parts":[[2021,7,10]],"date-time":"2021-07-10T04:57:27Z","timestamp":1625893047000},"page":"299-315","source":"Crossref","is-referenced-by-count":2,"title":["EEG electrodes selection for emotion recognition independent of stimulus presentation paradigms"],"prefix":"10.1177","volume":"41","author":[{"given":"Naveen","family":"Masood","sequence":"first","affiliation":[{"name":"Electrical Engineering Department, BahriaUniversity, Karachi, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Humera","family":"Farooq","sequence":"additional","affiliation":[{"name":"Computer Science Department, Bahria University, Karachi, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-201779_ref1","unstructured":"Li M. , Lu B.-L. , Emotion classification based on gamma-band EEG. in 2009 Annual International Conference of the IEEE Engineering in medicine and biology society. 2009. 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