Alberto Giacobbe

ORCID: 0000-0003-2565-8522
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About
Contact & Profiles
Research Areas
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Emotion and Mood Recognition
  • EEG and Brain-Computer Interfaces
  • Sleep and Work-Related Fatigue

University of Catania
2022

University of Messina
2022

Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation MW is paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk. In present research, two cognitive tests (Digit Span Test-DST and Ray Auditory Verbal Learning Test-RAVLT) were administered participants while driving in a simulated environment. chosen investigate drivers' response predefined levels load categorize classes MW....

10.3390/s22197300 article EN cc-by Sensors 2022-09-26

Automatically recognizing negative emotions, such as anger or stress, and also positive ones, 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 clinic environments, electroencephalography (EEG) electrocardiography (ECG), cannot realistically be used. Photoplethysmography (PPG) non-invasive technology that easily integrated into wearable sensors. This paper focuses on...

10.3390/bios12100811 article EN cc-by Biosensors 2022-09-30
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