|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuan Luo, Changbo Wu and Caiyun Lv
The proposed method can improve emotion recognition accuracy in human?computer interactions.
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac...
ver más
|
|
|
|
|
|