Abstract: In recent years, cognitive load overload has become an important factor affecting the effectiveness of online learning. To address this issue, the article focuses on the assessment of cognitive load in online learning, first designing a research framework for online learning cognitive load assessment based on multimodal data, which includes three parts: multimodal data … Read more
Click the “blue words” to follow for more exciting content! Monitoring the depth of anesthesia (DoA) during surgery is crucial, particularly non-invasive monitoring techniques. This article proposes a new approach for monitoring DoA, which utilizes time-frequency analysis of electroencephalogram (EEG) signals and extracts features from the gray level co-occurrence matrix (GLCM). First, the time-frequency map … Read more
Authors: Cai Jing, Yuan Shouguo, Li Rui, Xu Menghui Affiliations: 1. Jilin University, School of Instrument Science and Electrical Engineering, Changchun, Jilin 130061. Abstract: Emotions are closely related to human behavior, family, and society. Emotions not only reflect various feelings, thoughts, and behaviors of humans but also represent psychological and physiological responses generated by various … Read more
MLNLP Community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress of beginners. … Read more
EEG Visual Classification Algorithm Based on Improved StackCNN Network and Ensemble Learning Yang Qing1,2,3, Wang Yaqun1,2,3, Wen Dou1,2,3, Wang Ying1,2,3, Wang Xiangyu1,2,3 1. Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University; 2. School of Computer Science, Central China Normal University; 3. National Language Resources Monitoring and Research Network Media Center, Central … Read more
Please click “Yueying Technology“, “Brain Talk“, and choose to follow us.Yueying Technology focuses on online/offline training and data processing services for technologies such as EEG/ERP, fMRI, sMRI, DTI, fNIRS, and machine learning, hoping that professional services can provide support and help to peers. In addition, we have establisheda WeChat group and QQ group for neuroscience … Read more
Every day we need to select information from different positions in space. Since the total energy available to the brain in a short time is limited, if the brain wants to filter more spatial information, it needs to quickly and efficiently allocate attention resources. This process is accompanied not only by effective representation and encoding … Read more
Please click “Yueying Technology Brain Science“, “Brain Talk“, and choose to follow us.Yueying Technology focuses on online/offline training and data processing services in technologies such as EEG/ERP, fMRI, sMRI, DTI, fNIRS, and machine learning, hoping that our professional services can provide support and help to colleagues. In addition, we have establisheda WeChat group and QQ … Read more
Recently, the research team proposed a method for assessing the severity of VR cybersickness using electroencephalogram (EEG) signals, published in “Displays”. This study, titled “Exploring quantitative assessment of cybersickness in virtual reality using EEG signals and a CNN-ECA-LSTM network”, induces various degrees of cybersickness through visual stimulation paradigms and collects corresponding EEG data. It extracts … Read more