Alberto Giacobbe's research while affiliated with University of Catania and other places

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Publications (3)

Figure 3. Self-Assessment Manikin (Familiarity and pleasantness)....
Binary classes.
Linear regression of HRV features versus PRV features.
One-way ANOVA analysis of binary classes.
+2 Classification metrics: HRV versus PRV features.
Emotion Recognition: Photoplethysmography and Electrocardiography in Comparison
Article
Full-text available
  • Sep 2022
Automatically recognizing negative emotions, such as anger or stress, and also positive ones, such as euphoria, can contribute to improving well-being. In real-life, emotion recognition is a difficult task since many of the technologies used for this purpose in both laboratory and clinic environments, such as electroencephalography (EEG) and electr...
Figure 2. Pipeline of the experimental protocol.
Figure 13. Performances of the SVM classifiers for DST: (a) ROC curve...
Summary of the most related work with research field, measured...
Participants' scores statistics.
+1 Selected features after wrapping method for each of the developed models.
Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals
Article
Full-text available
  • Sep 2022
Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation of MW is of paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk. In the present research, two cognitive tests (Digit Span Test—DST and Ray Auditory Verbal Learning Test—RAVLT)...

Citations

... Hence, IRT has already been used to investigate the workload [30], the learning process [31], and the subject's emotional state [25,32,33]. Furthermore, this technology has been used to assess autonomic correlates during the administration of clinical tests, for instance for Alzheimer's disease patients [34] or during the recovery from breast cancer treatment [35]. ...
Reference: Psychophysiological Assessment of Children with Cerebral Palsy during Robotic-Assisted Gait Training through Infrared Imaging