- CULTURAL HERITAGE
- ARTIFICIAL INTELLIGENCE
- ENERGY & SUSTAINABILITY
- FOOD & AGRICULTURE
- HOME AUTOMATION
- INTERNET OF THINGS
- KIDS & EDUCATION
- NEW MANUFACTURING
- OPEN SOURCE
- RECYCLING & UPCYCLING
- 3D PRINTING
- ARTISANS & NEW CRAFT
- STEAM PUNK
- WELLNESS & HEALTHCARE
- YOUNG MAKERS (< 18)
- 3D SCANNING
- MUSIC & SOUND
- FASHION & WEARABLES
EphiSPA: calzino sensorizzato per l'analisi della camminata
47 million people are affected by a form of dementia.
Gait analysis represents an useful and minimally invasive way to detect these disorders, but the current systems are unwearable and voluminous and expensive.
Ephi SPA is a sensorized sock for gait analysis, low cost, easy to use and wear.
The device is designed to be totally wearable, washable and non-invasive: a monitoring and rehabilitation tool for everyday life.
The sock uses textile pressure sensors developed with innovative methods.
Alessandro Tognetti, Lucia Arcarisi, Nicola Carbonaro
Eng. Lucia Arcarisi is Research fellow at the Information Engineering Department of the University of Pisa. She received the bachelor degree in Electronic Engineering at University of Palermo and the Master degree in Biomedical Engineering at University of Pisa in 2018. She has been involved in the design of medical devices and wearable electronic solutions for monitoring and rehabilitation. She has good skills in rapid prototyping, CAD design and Arduino programming.
Eng. Nicola Carbonaro (PhD) is assistant Professor at the Information Engineering Departmentand the Research Center "E. Piaggio" of the University of Pisa. He graduated in Electronic Engineering at the University of Pisa in 2004. In 2010,he earned a PhD in Information Engineering from University of Pisa. His research is mainly focused onhardware and software development for wearable sensing technology forphysiological and behavioural human monitoring for biomedical applications.
Prof Alessandro Tognetti (PhD) is Associate Professor of Bioengineering at the Department of Information Engineering and the "E.Piaggio" Research Center of the University of Pisa. He graduated in Electronic Engineering and obtained a PhD in Bioengineering at the University of Pisa. His research activity is focused on the design and development of wearable multisensory technologies formeasurement and analysis outside the laboratory and during daily activities of posture and human movement and physiological signals. The main scientiï¬c interests concern the development of soft sensors (ï¬‚exible, e-textiles) for monitoring and analyzing human movement, non-invasive biomedical devices (physiological signals, physical activity, innovative interfaces for prostheses) and sensory fusion (fusion between physiological signals and inertial sensors for an accurate classiï¬cation of human activity, fusion of soft and inertial sensors to improve movement reconstruction performance by systems wearable).