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Jesus GomezRomero-Borquez, J. Alberto Del Puerto-Flores and Carolina Del-Valle-Soto
This work presents a study in which the cognitive concentration levels of participants were evaluated using electroencephalogram (EEG) measures while they were playing three different categories of virtual reality (VR) video games: Challenging Puzzlers, ...
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Zhipeng Zhang and Liyi Zhang
Electroencephalography (EEG)-based emotion recognition technologies can effectively help robots to perceive human behavior, which have attracted extensive attention in human?machine interaction (HMI). Due to the complexity of EEG data, current researcher...
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Hyoung-Gook Kim, Dong-Ki Jeong and Jin-Young Kim
The brain is more sensitive to stress than other organs and can develop many diseases under excessive stress. In this study, we developed a method to improve the accuracy of emotional stress recognition using multi-channel electroencephalogram (EEG) sign...
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Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li and Xiaoling Hu
Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to a...
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Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform exp...
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Saraswati Sridhar and Vidya Manian
Electroencephalogram signals are used to assess neurodegenerative diseases and develop sophisticated brain machine interfaces for rehabilitation and gaming. Most of the applications use only motor imagery or evoked potentials. Here, a deep learning netwo...
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Hongquan Qu, Zhanli Fan, Shuqin Cao, Liping Pang, Hao Wang and Jie Zhang
Electroencephalogram (EEG) signals contain a lot of human body performance information. With the development of the brain?computer interface (BCI) technology, many researchers have used the feature extraction and classification algorithms in various fiel...
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Jeong-Youn Kim, Jae-Beom Son, Hyun-Sung Leem and Seung-Hwan Lee
Brain functional changes could be observed in people after an experience of virtual reality (VR). The present study investigated cyber sickness and changes of brain regional activity using electroencephalogram (EEG)-based source localization, before and ...
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Saraswati Sridhar and Vidya Manian
Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain?computer interfaces (BCIs) stimulate and analyze key cerebral rhythm...
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