Projects

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The Computational Physiology & Biomedical Instruments group of the University of Pisa has been invoved in several International research and innovation projects funded by the European Commission in the frame of the 7th Framework/Horizon 2020 Programme, and by the University of Pisa.

 

H2020-ICT-NEVERMIND

(NEurobehavioural predictiVE and peRsonalised Modelling of depressIve symptoms duriNg primary somatic Diseases with ICT-enabled self-management procedures)

Personal health systems for the management of chronic diseases have seen giant leaps in development over recent years. These systems offer vital sign monitoring and therapy delivery at home, focusing on the primary physical disease conditions. However, they do not provide support for early mood assessment or psychological treatment and lack a real-time comprehensive assessment of the patient’s mental status.

H2020-ICT-SOFT-PRO

(Synergy-based Open-source Foundations and Technologies for Prosthetics and RehabilitatiOn)

Project: SoftPro project will study and design soft synergy-based robotics technologies to develop new prostheses, exoskeletons, and assistive devices for upper limb rehabilitation, which will greatly enhance the efficacy and accessibility to a greater number of users.

FP7-ICT-WEARHAP

(Wearable Haptics for Humans and Robots)

The complexity of the world around us is creating a demand for cognition-enabled interfaces that will simplify and enhance the way we interact with the environment. Project WEARHAP, aims at laying the scientific and technological foundations for wearable haptics, a novel concept for the systematic exploration of haptics in advanced cognitive systems and robotics that will redefine the way humans will cooperate with robots.

Recent Publications

Advances in Electrodermal Activity Processing with Applications on Emotions and Mental Health: From Heuristic Methods to Convex Optimization
On the role of affective properties in hedonic and discriminant haptic systems
Force-Velocity Assessment of Caress-like Stimuli through the Electrodermal Activity Processing: Advantages of a Convex Optimization Approach
Arousal and Valence Recognition of Affective Sounds based on Electrodermal Activity

Info

Computational Physiology & Biomedical Instruments Group, University of Pisa

Enzo Pasquale Scilingo: e.scilingo@ing.unipi.it

Dipartimento di Ingegneria dell'Informazione, Via Caruso, 16, 56122, Pisa, Italy

Centro di Ricerca "E. Piaggio", Largo Lucio Lazzarino 1, 56122 Pisa, Italy

SPIN-OFF

Feel-ING is a new start-up specialized in developing and implementing innovative Information and Communication Technology solutions for the optimization of the psychophysical performance and the promotion of wellbeing and mental health