Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …
extend this communication medium to computer applications. We define speech emotion …
Recognition of human emotions using EEG signals: A review
Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …
e-health care delivery, and in the development of novel human-machine interfaces. A …
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …
most demanding and important research fields, with various uses. In this context, this …
Emotion recognition from physiological signal analysis: A review
Human computer interaction is increasingly utilized in smart home, industry 4.0 and
personal health. Communication between human and computer can benefit by a flawless …
personal health. Communication between human and computer can benefit by a flawless …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Extended deep neural network for facial emotion recognition
DK Jain, P Shamsolmoali, P Sehdev - Pattern Recognition Letters, 2019 - Elsevier
Humans use facial expressions to show their emotional states. However, facial expression
recognition has remained a challenging and interesting problem in computer vision. In this …
recognition has remained a challenging and interesting problem in computer vision. In this …
Electrocardiogram-based emotion recognition systems and their applications in healthcare—a review
Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …
artificial intelligence into systems or devices. A system or device with affective computing is …
[HTML][HTML] Conversational memory network for emotion recognition in dyadic dialogue videos
Emotion recognition in conversations is crucial for the development of empathetic machines.
Present methods mostly ignore the role of inter-speaker dependency relations while …
Present methods mostly ignore the role of inter-speaker dependency relations while …
[图书][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …
many application domains in health-care, fitness, smart cities, and many other compelling …