Semantic Contours in Tracks Based on Emotional Tags
Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music
Combination of generative models and SVM based classifier for speech emotion recognition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Addressing the problems of data-centric physiology-affect relations modeling
Proceedings of the 15th international conference on Intelligent user interfaces
A GMM based 2-stage architecture for multi-subject emotion recognition using physiological responses
Proceedings of the 1st Augmented Human International Conference
Applications of sensing platforms with wearable computers
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Individual emotional profiles in Wizard-of-Oz-experiments
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Enjoyment recognition from physiological data in a car racing game
Proceedings of the 3rd international workshop on Affective interaction in natural environments
Spoken emotion recognition using hierarchical classifiers
Computer Speech and Language
Ifelt: accessing movies through our emotions
Proceddings of the 9th international interactive conference on Interactive television
Multi-source domain adaptation and its application to early detection of fatigue
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Emotion recognition using biological signal in intelligent space
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Multimodal emotion classification in naturalistic user behavior
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Towards emotional interaction: using movies to automatically learn users' emotional states
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part I
Affective modeling from multichannel physiology: analysis of day differences
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Multi-modal affect induction for affective brain-computer interfaces
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Affect recognition based on physiological changes during the watching of music videos
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
Multiple feature extraction and hierarchical classifiers for emotions recognition
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
Tune in to your emotions: a robust personalized affective music player
User Modeling and User-Adapted Interaction
Understanding physiological responses to stressors during physical activity
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Multisource domain adaptation and its application to early detection of fatigue
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
Fuzzy cognitive maps for artificial emotions forecasting
Applied Soft Computing
Unsupervised inference of auditory attention from biosensors
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Valence, arousal and dominance in the EEG during game play
International Journal of Autonomous and Adaptive Communications Systems
Ubiquitous emotion-aware computing
Personal and Ubiquitous Computing
Image and Vision Computing
Bio-Affective Computer Interface for Game Interaction
International Journal of Gaming and Computer-Mediated Simulations
Subject-dependent biosignal features for increased accuracy in psychological stress detection
International Journal of Human-Computer Studies
Characterization and recognition of emotions from speech using excitation source information
International Journal of Speech Technology
Automatic classification of eye activity for cognitive load measurement with emotion interference
Computer Methods and Programs in Biomedicine
Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model
Computer Methods and Programs in Biomedicine
Speech emotional features extraction based on electroglottograph
Neural Computation
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This paper investigates the potential of physiological signals as reliable channels for emotion recognition. All essential stages of an automatic recognition system are discussed, from the recording of a physiological dataset to a feature-based multiclass classification. In order to collect a physiological dataset from multiple subjects over many weeks, we used a musical induction method which spontaneously leads subjects to real emotional states, without any deliberate lab setting. Four-channel biosensors were used to measure electromyogram, electrocardiogram, skin conductivity and respiration changes. A wide range of physiological features from various analysis domains, including time/frequency, entropy, geometric analysis, subband spectra, multiscale entropy, etc., is proposed in order to find the best emotion-relevant features and to correlate them with emotional states. The best features extracted are specified in detail and their effectiveness is proven by classification results. Classification of four musical emotions (positive/high arousal, negative/high arousal, negative/low arousal, positive/low arousal) is performed by using an extended linear discriminant analysis (pLDA). Furthermore, by exploiting a dichotomic property of the 2D emotion model, we develop a novel scheme of emotion-specific multilevel dichotomous classification (EMDC) and compare its performance with direct multiclass classification using the pLDA. Improved recognition accuracy of 95\% and 70\% for subject-dependent and subject-independent classification, respectively, is achieved by using the EMDC scheme.