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Seok-Joon Hwang and Ju-Seok Nam
Agricultural workers suffer from various physical problems and mental stress, including depression and insomnia. Various factors affect brain stress, including harsh agricultural working conditions. Further brain stress may also be due to changes in work...
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Xiaobi Chen, Guanghua Xu, Sicong Zhang, Xun Zhang and Zhicheng Teng
The complex network nature of human brains has led an increasing number of researchers to adopt a complex network to assess the cognitive load. The method of constructing complex networks has a direct impact on assessment results. During the process of u...
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Oksana Kharchenko, Zlatinka Kovacheva and Velin Andonov
Ensuring noise immunity is one of the main tasks of radio engineering and telecommunication. The main task of signal receiving comes down to the best recovery of useful information from a signal that is destructed during propagation and received together...
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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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Qing Liu, Jianjun Hao and Yijun Guo
The high cost of acquiring training data in the field of emotion recognition based on electroencephalogram (EEG) is a problem, making it difficult to establish a high-precision model from EEG signals for emotion recognition tasks. Given the outstanding p...
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Yuan Luo, Changbo Wu and Caiyun Lv
The proposed method can improve emotion recognition accuracy in human?computer interactions.
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Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, Tahir Cetin Akinci and Oguzhan Topsakal
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis. EEG is a non-invasive medical test fo...
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Sriniketan Sridhar, Anibal Romney and Vidya Manian
Mild Cognitive Impairment (MCI) and Alzheimer?s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detection of...
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Patricia Gamboa, Rui Varandas, João Rodrigues, Cátia Cepeda, Cláudia Quaresma and Hugo Gamboa
Occupational disorders considerably impact workers? quality of life and organizational productivity, and even affect mortality worldwide. Such health issues are related to mental health and ergonomics risk factors. In particular, mental health may be aff...
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Jeong-Han Yi, Kyu-Beom Kim, Ye-Jin Kim, Ji-Su Kim, Hyung-Sik Kim, Mi-Hyun Choi and Soon-Cheol Chung
The purpose of this study was to observe the effects of audible and inaudible binaural beat stimuli on alpha power elicitation and compare the differences in triggering effects depending on sound perception. Experiments were conducted on healthy male and...
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Muhammad Haseeb Aslam, Syed Muhammad Usman, Shehzad Khalid, Aamir Anwar, Roobaea Alroobaea, Saddam Hussain, Jasem Almotiri, Syed Sajid Ullah and Amanullah Yasin
Epilepsy is a common brain disorder that causes patients to face multiple seizures in a single day. Around 65 million people are affected by epilepsy worldwide. Patients with focal epilepsy can be treated with surgery, whereas generalized epileptic seizu...
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Ling Wang, Hangyu Liu, Tiehua Zhou, Wenlong Liang and Minglei Shan
Electroencephalogram (EEG) as biomedical signal is widely applied in the medical field such as the detection of Alzheimer?s disease, Parkinson?s disease, etc. Moreover, by analyzing the EEG-based emotions, the mental status of individual can be revealed ...
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Ming Hu and Jennifer Roberts
To date, the predominant tools for the evaluation of built environment quality and impact have been surveys, scorecards, or verbal comments?approaches that rely upon user-reported responses. The goal of this research project is to develop, test, and vali...
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Feng Li, Xiaoyu Li, Fei Wang, Dengyong Zhang, Yi Xia and Fan He
Aiming at enhancing the classification accuracy of P300 Electroencephalogram signals in a non-invasive brain?computer interface system, a novel P300 electroencephalogram signals classification algorithm is proposed which is based on improved convolutiona...
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Chih-Hsiung Huang and Pei-Jung Lin
Using Augmentative and Alternative Communication (AAC) to improve the communication skills of children with disabilities is generally supported by both domestic and foreign scholars. Graphic symbols that represent individual words or phrases are often us...
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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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Bu Il Jeon, Byung Jun Kang, Hyun Chan Cho and Jongwon Kim
An electromyogram (EMG) is a signal for muscle output that indicates the degree of muscle contraction and relaxation. For these muscle signals to be output, certain signals must be received from the brain. To analyze these relations, electroencephalogram...
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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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Rito Clifford Maswanganyi, Chungling Tu, Pius Adewale Owolawi and Shengzhi Du
Transfer learning (TL) has been proven to be one of the most significant techniques for cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCI). Hence, it is widely used to address the challenges of cross-session ...
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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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