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Biomedical Engineering , 2013 (2013). Abhejit Rajagopal, Anthony C Nguyen, and Dennis M Briggs. 2013. Neuropass: A secure neural password based on EEG. Biomedical Engineering, 2013 (2013)."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.936774"},{"key":"e_1_3_2_1_70_1","volume-title":"Amir Ali Khan, and Ahmad Salman","author":"Riaz Anaum","year":"2014","unstructured":"Anaum Riaz , Sana Akhtar , Shanza Iftikhar , Amir Ali Khan, and Ahmad Salman . 2014 . Inter comparison of classification techniques for vowel speech imagery using EEG sensors. In The 2014 2nd Int'l Conf. on Systems and Informatics (ICSAI 2014). IEEE , 712--717. Anaum Riaz, Sana Akhtar, Shanza Iftikhar, Amir Ali Khan, and Ahmad Salman. 2014. Inter comparison of classification techniques for vowel speech imagery using EEG sensors. In The 2014 2nd Int'l Conf. on Systems and Informatics (ICSAI 2014). 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In 2nd Int'l Conf. on Autonomous Robots and Agents. Citeseer 186--191.  Kazuhiko Takahashi et al. 2004. Remarks on emotion recognition from biopotential signals. In 2nd Int'l Conf. on Autonomous Robots and Agents. Citeseer 186--191."},{"key":"e_1_3_2_1_77_1","unstructured":"V Vanitha and P Krishnan. 2016. Real time stress detection system based on EEG signals. (2016).  V Vanitha and P Krishnan. 2016. Real time stress detection system based on EEG signals. (2016)."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.5555\/211359"},{"key":"e_1_3_2_1_79_1","volume-title":"Emotional state classification from EEG data using machine learning approach. Neurocomputing","author":"Wang Xiao-Wei","year":"2014","unstructured":"Xiao-Wei Wang , Dan Nie , and Bao-Liang Lu. 2014. Emotional state classification from EEG data using machine learning approach. Neurocomputing ( 2014 ), 94--106. Xiao-Wei Wang, Dan Nie, and Bao-Liang Lu. 2014. Emotional state classification from EEG data using machine learning approach. Neurocomputing (2014), 94--106."},{"key":"e_1_3_2_1_80_1","volume-title":"Decoding english alphabet letters using EEG phase information. Frontiers in neuroscience","author":"Wang YiYan","year":"2018","unstructured":"YiYan Wang , Pingxiao Wang , and Yuguo Yu. 2018. Decoding english alphabet letters using EEG phase information. Frontiers in neuroscience ( 2018 ), 62. YiYan Wang, Pingxiao Wang, and Yuguo Yu. 2018. Decoding english alphabet letters using EEG phase information. Frontiers in neuroscience (2018), 62."},{"key":"e_1_3_2_1_81_1","unstructured":"Zhong Yunfan. 2019. Chinese primary school halts trial of device that monitors pupils. https:\/\/www.theguardian.com\/world\/2019\/nov\/01\/chinese-primaryschool-halts-trial-of-device-that-monitors-pupils-brainwaves. [Accessed: 11\/19\/2021].  Zhong Yunfan. 2019. Chinese primary school halts trial of device that monitors pupils. https:\/\/www.theguardian.com\/world\/2019\/nov\/01\/chinese-primaryschool-halts-trial-of-device-that-monitors-pupils-brainwaves. [Accessed: 11\/19\/2021]."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"},{"key":"e_1_3_2_1_83_1","first-page":"417","article-title":"Identifying stable patterns over time for emotion recognition from EEG","volume":"3","author":"Zheng Wei-Long","year":"2017","unstructured":"Wei-Long Zheng , Jia-Yi Zhu , and Bao-Liang Lu . 2017 . Identifying stable patterns over time for emotion recognition from EEG . IEEE Transactions on Affective Computing 3 (2017), 417 -- 429 . Wei-Long Zheng, Jia-Yi Zhu, and Bao-Liang Lu. 2017. Identifying stable patterns over time for emotion recognition from EEG. 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