Physiological Computing Systems

Development and Assessment of a Self-paced BCI-VR Paradigm Using Multimodal Stimulation and Adaptive Performance.- Bio-behavioral Modeling of Workload and Performance.- Simple and Robust Automatic Detection and Recognition of Human Movement Patterns in Tasks of Different Complexity.- From Body Tracking Interaction in Floor Projection Displays to Elderly Cardiorespiratory Training Through Exergaming.- Looking for Emotions on a Single EEG Signal.- Detection of Artifacts Using a Non-invasive BCI on the Basis of Electroencephalography while Utilizing Low-cost Off-the-Shelf Equipment.- A Data-driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients.- Inner Flower: Design and Evaluation of a Tangible Biofeedback for Relaxation.- Towards Industrial Assistance Systems: Experiences of Applying Multi-sensor Fusion in Harsh Environments.- Hand Gesture Recognition Based on EMG Data: A Convolutional Neural Network Approach.- Heart Rhythm Qualitative Analysis Using Low-cost and Open Source Electrocardiography: A Study Based on Atrial Fibrillation Detection.- Integrating Biocybernetic Adaptation in Virtual Reality Training Concentration and Calmness in Target Shooting.