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Enzo Pasquale Scilingo
Researcher at University of Pisa
Publications - 85
Citations - 932
Enzo Pasquale Scilingo is an academic researcher from University of Pisa. The author has contributed to research in topics: Heartbeat & Haptic technology. The author has an hindex of 16, co-authored 85 publications receiving 783 citations.
Papers
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Journal ArticleDOI
A synergy-based hand control is encoded in human motor cortical areas
Andrea Leo,Giacomo Handjaras,Matteo Bianchi,Hamal Marino,Marco Gabiccini,Marco Gabiccini,Andrea Guidi,Enzo Pasquale Scilingo,Pietro Pietrini,Antonio Bicchi,Antonio Bicchi,Marco Santello,Emiliano Ricciardi +12 more
TL;DR: Kinematic, electromyography, and brain activity measures obtained by functional magnetic resonance imaging while subjects performed a variety of movements towards virtual objects support a novel cortical organization for hand movement control and open potential applications for brain-computer interfaces and neuroprostheses.
Proceedings ArticleDOI
The role of contact area spread rate in haptic discrimination of softness
TL;DR: The possibility of surrogating detailed tactile information for softness discrimination, with information on the rate of spread of the contact area between the finger and the specimen is investigated.
Journal ArticleDOI
Arousal and Valence Recognition of Affective Sounds Based on Electrodermal Activity
TL;DR: In this paper, a convex optimization-based electrodermal activity (EDA) framework and clustering algorithms were used to automatically detect arousal and valence levels induced by affective sound stimuli.
Research report Tactile flow explains haptic counterparts of common visual illusions
TL;DR: A computational model of tactile flow is introduced, which is intimately related to existing models for the visual counterpart and predicts illusory phenomena in the tactile domain, analogous to the barber-pole effect.
Book
Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization
TL;DR: In this article, Electrodermal activity (EDA) is used as a biomarker for the autonomic nervous system (ANS) dynamics as investigated through EDA processing, which can be used to characterize the affective and emotional states of a human subject.