The main aim of the research centre is to bring together the complementary expertise (Social science, computing and engineering, and humanities) to develop an Affective and Human Computing for Smart Spaces (AHSCE). Affect recognition is the process of understanding what type of emotion a person is experiencing. Emotions perform a significant function in personal or social communication and can be conveyed verbally by words or expressed by non-verbal signs such as facial expressions and gestures.
DREAMER dataset
A dataset for emotion recognition through EEG and ECG signals. Download link
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Genomic analysis with machine learning
Hybrid Feature Selection for Complex Diseases SNPs.
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Video quality from physiological signals
Perceptual video quality evaluation by means of physiological signals.
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Remote heart rate detection
Contacless remote heart rate monitoring using imaging sensors.
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Daily activities and Fall detection
Detection of daily life activities and falls using accelerometer data.
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Human-Horse Interaction
Human-Horse Interaction Multimodal system for Affective Detection
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Intelligent tutoring systems
Intelligent tutoring system (ITS) that adapt to the learning capabilities of the student.
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Quality of Experience in VR
Quality of Experience in VR in relation to Physiological Signals.
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Serious games for career prediction
Predicting the careers of teenagers through the use of Games.
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