[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
A comprehensive survey on affective computing; challenges, trends, applications, and future directions
Affective computing, as its name implies, focuses on the recognition of human emotions,
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
EEG-based affective computing in virtual reality with a balancing of the computational efficiency and recognition accuracy
The field of VR-EEG affective computing is rapidly progressing. However, it faces challenges
such as lacking a solid psychological theory foundation, limited classification accuracy, and …
such as lacking a solid psychological theory foundation, limited classification accuracy, and …
Effects of virtual reality on creative performance and emotions: A study of brainwaves
HT Huang, YS Chang - Computers in Human Behavior, 2023 - Elsevier
Creativity is the basis for innovation and a source of national and industrial competitiveness.
Thus, pedagogical enhancement of creativity is desirable, particularly via application of new …
Thus, pedagogical enhancement of creativity is desirable, particularly via application of new …
Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence
Virtual reality (VR) and immersive technology have emerged as powerful tools with
numerous applications. VR technology creates a computer-generated simulation that …
numerous applications. VR technology creates a computer-generated simulation that …
A hybrid approach consisting of 3D depthwise separable convolution and depthwise squeeze-and-excitation network for hyperspectral image classification
Hyperspectral image classification is crucial for a wide range of applications, including
environmental monitoring, precision agriculture, and mining, due to its ability to capture …
environmental monitoring, precision agriculture, and mining, due to its ability to capture …
A Systematic Review of Electroencephalography-Based Emotion Recognition of Confusion Using Artificial Intelligence
Confusion emotion in a learning environment can motivate the learner, but prolonged
confusion hinders the learning process. Recognizing confused learners is possible; …
confusion hinders the learning process. Recognizing confused learners is possible; …
Error Detection in P300 Speller Device Applying Differential Entropy Features and Machine Learning Approaches
R Khatun, AK Sarkar… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Spelling error is a habitual issue in the P300-speller device. The main concern is to detect
the error in spelling task. During the spelling task Event Related Potential (ERP) based P300 …
the error in spelling task. During the spelling task Event Related Potential (ERP) based P300 …
A novel approach for cardiotocography paper digitization and classification for abnormality detection
Cardiotocography (CTG) is a clinical procedure that is used to track and gauge the severity
of fetal distress. Although CTG is the most often used equipment to monitor and assess the …
of fetal distress. Although CTG is the most often used equipment to monitor and assess the …
Bir Boyutlu Evrişimsel Sinir Ağı Yardımıyla Faz Kilitleme Değeri ve Diferansiyel Entropi Özellikleri Kullanılarak EEG Sinyallerinde Duygu Tanınması
Duygu analizi günümüz bilim dünyasında üzerinde en çok araştırma yapılan alanların
başında gelmektedir. Özellikle insan-bilgisayar etkileşimi gibi günlük hayatımıza her geçen …
başında gelmektedir. Özellikle insan-bilgisayar etkileşimi gibi günlük hayatımıza her geçen …