His main research concerns Artificial intelligence, Wearable computer, Heart rate variability, Arousal and Valence. His Artificial intelligence study combines topics in areas such as Percept, Tactile perception, Computer vision, Condition monitoring and Pattern recognition. His Computer vision research focuses on subjects like Haptic technology, which are linked to Kinesthetic learning and Teleoperation.
His study in Wearable computer is interdisciplinary in nature, drawing from both Hypomania, Electronic engineering and Simulation. His Heart rate variability research incorporates themes from Autonomic nervous system, Bipolar disorder, Physical medicine and rehabilitation and Mood. His work in the fields of International Affective Picture System overlaps with other areas such as Heartbeat.
His primary areas of study are Artificial intelligence, Heart rate variability, Wearable computer, Heartbeat and Haptic technology. His research in Artificial intelligence intersects with topics in Set, Perception, Computer vision and Pattern recognition. Enzo Pasquale Scilingo interconnects Autonomic nervous system, Arousal, Neuroscience and Audiology in the investigation of issues within Heart rate variability.
The concepts of his Autonomic nervous system study are interwoven with issues in Physical medicine and rehabilitation and Mood. His Wearable computer study integrates concerns from other disciplines, such as Electronic engineering, Simulation, Electrical engineering and Human–computer interaction. His studies in Haptic technology integrate themes in fields like Stimulus, Magnetorheological fluid, Contact area and Kinesthetic learning.
His primary scientific interests are in Heart rate variability, Artificial intelligence, Heartbeat, Pattern recognition and Arousal. His research integrates issues of Autonomic nervous system and Audiology in his study of Heart rate variability. His work carried out in the field of Artificial intelligence brings together such families of science as Motor imagery, Computer vision and Signal processing.
His Pattern recognition research is multidisciplinary, relying on both Multivariate statistics, Kurtosis and Electroencephalography. His Arousal research includes themes of Valence, Speech recognition, Affective computing, Human–computer interaction and Feature extraction. He frequently studies issues relating to Wearable computer and Human–computer interaction.
Enzo Pasquale Scilingo mainly investigates Heartbeat, Heart rate variability, Autonomic nervous system, Arousal and Audiology. Enzo Pasquale Scilingo combines subjects such as Symbolic data analysis and Support vector machine with his study of Heart rate variability. The Arousal study combines topics in areas such as Valence, Feature, Human–computer interaction and Test set.
His work deals with themes such as Stimulus, Psychophysiology and Mood, which intersect with Audiology. Haptic technology is a subfield of Artificial intelligence that Enzo Pasquale Scilingo explores. His Wearable computer study deals with Signal processing intersecting with Computer vision and Pattern recognition.
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Wearable, redundant fabric-based sensor arrays for reconstruction of body segment posture
F. Lorussi;W. Rocchia;E.P. Scilingo;A. Tognetti.
IEEE Sensors Journal (2004)
Performance evaluation of sensing fabrics for monitoring physiological and biomechanical variables
Enzo Pasquale Scilingo;A. Gemignani;R. Paradiso;N. Taccini.
international conference of the ieee engineering in medicine and biology society (2005)
Strain-sensing fabrics for wearable kinaesthetic-like systems
Enzo Pasquale Scilingo;F. Lorussi;A. Mazzoldi;D. De Rossi.
IEEE Sensors Journal (2003)
Strain sensing fabric for hand posture and gesture monitoring
F. Lorussi;Enzo Pasquale Scilingo;M. Tesconi;A. Tognetti.
international conference of the ieee engineering in medicine and biology society (2005)
The Effect of Visual Experience on the Development of Functional Architecture in hMT
Emiliano Ricciardi;Nicola Vanello;Lorenzo Sani;Claudio Gentili.
Cerebral Cortex (2007)
Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors.
Javier Marín-Morales;Juan Luis Higuera-Trujillo;Alberto Greco;Jaime Guixeres.
Scientific Reports (2018)
The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition
G. Valenza;A. Lanata;E. P. Scilingo.
IEEE Transactions on Affective Computing (2012)
cvxEDA: A Convex Optimization Approach to Electrodermal Activity Processing
Alberto Greco;Gaetano Valenza;Antonio Lanata;Enzo Pasquale Scilingo.
IEEE Transactions on Biomedical Engineering (2016)
ELECTROACTIVE FABRICS AND WEARABLE BIOMONITORING DEVICES
Danilo Emilio De Rossi;Federico Carpi;Federico Lorussi;Alberto Mazzoldi.
Autex Research Journal (2003)
Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics
Gaetano Valenza;Luca Citi;Antonio Lanatá;Enzo Pasquale Scilingo.
Scientific Reports (2015)
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